Advanced onboard diagnostics (OBD) systems play a vital role in monitoring, capable of logging data over time and monitoring the vehicle's performance in real-time. This feature allows for a comprehensive analysis of the car's condition and can help in predicting potential failures. Additionally this data can assist in monitoring vehicle emissions and ensuring compliance with global regulations.Organized by SAE International, On-Board Diagnostics Symposium-Europe event brings together industry stakeholders and government representatives to promote dialogue and explore the latest developments in OBD technology and regulations. The symposium provides a unique platform for attendees to stay informed and gain insights into the future of the automotive industry.Over the course of three days, participants will explore a wide range of topics, from current and changing OBD global emissions rules and regulations to emerging technologies impacting markets worldwide. The symposium's agenda promises to deliver valuable knowledge and actionable strategies for dealing with OBD systems.<table style="width: 100%;"><tbody><tr><td style="width: 100%;">What:&nbsp;On-Board Diagnostics Symposium-EuropeWhen: March 11 to 13, 2025, in Porto, Portugal.<a href="https://www.sae.org/attend/obd-europe" target="_blank" rel="noopener noreferrer">Read more about the event</a>.</td></tr></tbody></table><h2 dir="ltr"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzI1ODk2MzM2NTU3LW9yZGluYXJ5LmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 100%px;" class="fr-fic fr-dib"></h2><h2 dir="ltr">On-Board Diagnostics Symposium – Europe</h2>The On-Board Diagnostics Symposium-Europe will be held from 11 to 13 March 2025 in Porto, Portugal. This event is organized by SAE International, a respected name in the automotive industry known for its commitment to advancing mobility technology.Porto, a city rich in history and culture, provides a fitting backdrop for this important gathering. The venue is conveniently located, making it easy for attendees to access both the symposium and the city’s many attractions.The symposium will bring together professionals, researchers, and industry leaders from around the world to discuss the latest trends and challenges in On-Board Diagnostics (OBD). Over three days, attendees will have the opportunity to engage in insightful presentations, panel discussions, and workshops, all focused on the future of OBD technology.<h3 dir="ltr">Key Sessions of the Symposium</h3>The On-Board Diagnostics Symposium-Europe will feature a variety of key sessions designed to provide valuable insights and practical knowledge.&nbsp;Here are some of the main topics that will be covered:<h4 dir="ltr">1. OBD Global Emissions Rules &amp; Regulations</h4>This session will focus on the latest updates from important regulatory bodies like CARB, EPA, and the European Commission. Participants will learn about the current emissions standards and the changes that are on the horizon. Understanding these regulations is vital for compliance and innovation in the automotive industry.<h4 dir="ltr">2. Technical Applications and Solutions</h4>In this session, experts will discuss the practical applications of on-board diagnostics technology. They will address potential challenges in implementing regulations and share ideas on how to solve them. This information will help participants apply what they learn to real-world situations.<h4 dir="ltr">3. Emerging Technologies</h4>This session will highlight new technologies that are shaping the future of automotive diagnostics. Participants will explore innovations that can improve powertrain diagnostics and reduce emissions. Staying informed about these technologies is essential for anyone looking to lead in the industry.<h4 dir="ltr">4. Intent of Regulations</h4>Attendees will also explore the goals behind OBD regulations and their impact on emissions reduction. By understanding the purpose of these rules, participants can better align their strategies with the broader objectives of environmental sustainability and public health.<h4 dir="ltr">5. Industry Drivers</h4>The symposium will analyze market trends that influence OBD technology and regulations. Attendees will gain insights into consumer demand, technological advancements, and other factors shaping the automotive industry. This knowledge can help them anticipate future changes and adapt their strategies accordingly.<h4 dir="ltr">6. Legislative Policies &amp; Standards</h4>Understanding the intent behind regulations is important for compliance. This session will explore the legislative policies that influence the automotive sector. Participants will gain insights into how these policies are developed and their impact on the industry.<h2 dir="ltr">Benefits of Attending the Symposium</h2>Attending the On-Board Diagnostics Symposium-Europe offers many valuable benefits for participants. Here are some key advantages:<ul><li dir="ltr">Educational Opportunities: Participants will have access to expert-led sessions that cover the latest guidelines and innovations in on-board diagnostics. These sessions will provide insights into how to improve existing systems and develop new products that meet current and future regulations.&nbsp;</li><li dir="ltr">Networking: The symposium is a great place to connect with peers and industry leaders. Participants can meet professionals from various sectors, including regulators, OEMs, and research groups. This networking can lead to valuable partnerships and collaborations. It also provides a chance to find mentors who can guide young engineers in their careers.</li><li dir="ltr">Future Trends: The event will focus on emerging trends in the automotive industry. Participants will gain insights into the future of heavy-duty vehicles and how to adapt to changes in technology and regulations.&nbsp;</li><li dir="ltr">Professional Growth:&nbsp;For young engineers, attending the symposium is an important step for professional development. They will learn about the latest advancements and best practices in the industry. This knowledge can enhance their skills and boost their careers.</li></ul><h2 dir="ltr">Who Should Attend?</h2>The On-Board Diagnostics Symposium-Europe is ideal for professionals across the automotive industry. This includes engineers, regulators, OEMs, research groups, and industry partners.&nbsp;Whether you are looking to stay updated on the latest OBD technologies, understand evolving regulations, or network with industry leaders, this event offers valuable insights and opportunities for everyone involved in vehicle diagnostics and compliance. Young engineers, in particular, will find the symposium beneficial for advancing their careers and staying competitive in the field.<h2 dir="ltr">A key event for the automotive industry</h2>The On-Board Diagnostics Symposium-Europe is an unmissable event for anyone involved in the automotive industry. With its focus on the latest regulations, technologies, and best practices in OBD systems, this symposium offers a unique opportunity to enhance your knowledge and network with industry leaders. Whether you are a young engineer eager to learn or a seasoned professional looking to stay ahead of the curve, this event will provide valuable insights and connections.&nbsp;Visit the event page to read more about the OBD Event program and to sign up for updates about when the registration for the event opens. Don’t miss out on your chance to be part of the conversation shaping the future of sustainable transport!<a href="https://www.sae.org/attend/obd-europe" target="_blank" rel="noopener noreferrer" class="button-main-action">Visit event page</a>

The "On-Board Diagnostics Symposium-Europe," taking place on March 11-13, 2025, in Porto, Portugal, will gather leading professionals from the automotive industry to explore the latest developments and strategies for advancing vehicle diagnostics and compliance with global regulations.

Shaping the Future of Automotive Diagnostics: OBD-EU Symposium 2025

As the world continues to embrace the Internet of Things (IoT), the demand for efficient power management solutions for IoT devices is on the rise. 

What Are the Best Applications for IoT in the New World of IC Power Management?

Several technologies have suddenly come into the spotlight in measures against global warming. Typical examples of these technologies include solar and wind power generation, electric vehicles (EVs), power semiconductors, and fuel cells. Among these technologies, batteries have been viewed as important and widely used for some time. However, batteries are an electrical component whose importance has risen to another level in recent years (Fig. 1).<h2>Larger-Capacity, Higher-Voltage, and Longer-Life Batteries Are Sought for EVs and Energy Storage Systems (ESSs)</h2>Batteries, long used in toys, flashlights and other devices, are now an indispensable source of power for notebooks, smartphones, and other mobile devices. However, devices and equipment that were previously used by burning fossil fuels are now being electrified. Moreover, the use of renewable energy is being promoted. Against this backdrop, new usage scenarios for batteries are rapidly expanding. A strong desire has now emerged for batteries with greater performance, reliability, and safety than ever before.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1711015890630-bms-img0001.jpg" style="width: 100%px;" class="fr-fic fr-dib">Fig. 1: Batteries Are Becoming Increasingly Important as a Technology That Boosts the Achievement of Carbon NeutralityFor example, extremely advanced batteries are sought when electrifying the means of mobility that have conventionally used powerful engines as sources of power and heat such as EVs, electric ships, and airplanes. Those batteries need to meet all advanced requirements including a larger capacity to lengthen the continuous use time, higher input/output to enable rapid charging/discharging from small to large power, a longer cycle life with no deterioration over a long time even when repeatedly charged/discharged, and improved safety to allow use even under various temperatures, vibrations, shocks, and other environmental conditions.However, even with the batteries used in new scenarios like such EVs, the basic structure and materials used are not that different from conventional batteries used in smartphones. Lithium ion secondary batteries, the most user-friendly batteries from various perspectives including capacity, output, and life span, are being used without major improvements.The operating voltage of each lithium ion secondary battery cell (the smallest element of a battery) is approximately 4 V when fully charged and approximately 2 V when discharged. The operating voltage is also similar in batteries for smartphones. Moreover, the capacity realized by one cell is approximately 26 Ah for those installed in the latest EVs. The capacity of batteries for smartphones is approximately 3 Ah. Certainly, that means they are a little large. Nevertheless, we can still say they are small considering that they are used to power heavy machines like EVs.&nbsp;In fact, EV motors are driven at a high-voltage power of 400 V to 800 V. The capacity of the batteries that must be installed in EVs to obtain a practical traveling range is large at 50 kWh or more. Combining 1,000 or more cells and then arranging them in a series or parallel realizes the specifications of batteries for EVs. Batteries that have been given a higher voltage and larger capacity by combining a certain number of cells are called modules. Furthermore, a collection of multiple modules is referred to as a pack.It is necessary to resolve certain issues to adopt this method of combining small cells to make large batteries.In general, there are individual differences in the capacity, input/output, and other characteristics of each cell. Those differences arise from variations in materials and manufacturing. When cells are charged/discharged repeatedly, individual differences also arise in their strength against stress from the environment such as charging/discharging. Therefore, the individual differences of each cell tend to become larger. These individual differences have a major impact on the life span, output, and other characteristics of modules comprising many cells and the pack overall. That is because the characteristics of the module or pack will conform to the characteristics of the cell with the weakest performance and stress resistance among those used. Generally, there are fluctuations (referred to as "stress strength") in the temperature of the environment surrounding each cell and the voltage and current during charging/discharging. Therefore, the less resistant the cell, the higher the degree of deterioration. In particular, if the capacity is reduced, the power fails, or another problem arises due to over-charging (over-discharging), overheating, and internal short circuits, it may become impossible to control or drive the vehicle. That may even lead to an accident.<h2>What Is a Battery Management System – a Key System to Effectively Use Batteries?</h2>Against this background, it is necessary to set up an operating environment where it is possible to minimize the deterioration of each cell to maintain the performance of the modules comprising a combination of multiple cells and the packs and ensure the safe use of them over a longer period. A Battery Management System (BMS) is the control system that plays the role of closely monitoring and controlling the operation and status of each cell to achieve that purpose.The operation and status of each cell is constantly monitored with high precision and high resolution in a BMS. Sensors that detect the voltage, current, temperature, leakage, and other factors are used to monitor the operation and status of cells. The system controls the charging/discharging to compensate for slight inconsistences and imbalances in individual cells or modules. This maintains the balance so that the characteristics are as uniform as possible. As a result, the operating life span and performance of the modules and packs are maximized while ensuring their safety (Fig. 2).<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1711015915237-bms-img0002_en.png" style="width: 100%px;" class="fr-fic fr-dib">Fig. 2: Cell Balancing - the Main Function of a BMSThe software control in the microcomputer then checks the collected data against the usage range determined from the battery specifications and design to perform operations like the following: (1) charging/discharging control to prevent over-charging and over-discharging, which impairs safety by causing cells to deteriorate, (2) charging/discharging control to prevent dangerous over-current, (3) management of the temperature to enable safe and smooth operation, (4) calculation of the state of charge (SOC), and (5) equalization of the cell voltage to maximize the traveling range and life span (referred to as "cell balancing"). Furthermore, if over-charging, overheating, or another abnormality is detected, the BMS sends alerts to the other in-vehicle systems and informs the control circuits that have the function to disconnect the output power to prevent accidents from occurring.There are two methods to the cell balancing function, which is an important function of a BMS. One is the passive method, in which a discharge switch is used to forcibly discharge cells with a high voltage and to convert the difference in capacity with cells with a low voltage into heat to equivalize the voltage. The other is the active method. In the active method, current is exchanged between adjacent cells with an unbalanced capacity and voltage to equalize the charging status of the cells. It is necessary to employ the active method to fully utilize the battery's potential without spare.The performance of a BMS is determined by the diversity and precision of its embedded control functions. However, an important condition to realize this is a high level of precision in the sensors that detect the operation and status of the cells and in the many electronic components used in BMS circuits (Fig. 3). In addition, a large number of cells must be monitored. Therefore, the BMS circuit configuration itself is becoming more complex. This means smaller and lighter sensors and components are being sought.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1711015936852-bms-img0003.jpg" style="width: 100%px;" class="fr-fic fr-dib">Fig. 3: Components Used in BMS Circuits (Source: Application guides "BMS (Battery management system)")<h2 id="isPasted">Wireless BMSs: Installed with Many Wireless Modules</h2>Conventional BMSs predict the operation and status of each cell by checking the data collected with the sensors against the rules and control range input in advance. Consideration is now being given to introducing technology that predicts the operation and status of each cell with even greater precision by allowing artificial intelligence (AI) to learn the trends in electrochemical phenomena in batteries. It is expected that utilization of this technology called "AI BMS" will enable the prediction of cell performance during rapid charging and the early detection of cell deterioration.&nbsp;In addition, attention has been focusing in recent years on the introduction of wireless BMSs (wBMSs). This is a wireless version of the control line that connects the modules and the BMS, making it possible to reduce the number of cables between the modules. This reduces the weight and makes it easier to wire to difficult-to-access locations. It seems it is possible to reduce the length of the cables by approximately 10 m per vehicle as well as the number of connectors, transformers, and other components associated with the wire connections when this technology is applied to a BMS for EVs. Furthermore, installing cells in that empty space will also make it possible to increase the battery capacity. Nevertheless, the risk of failure increases due to instability in the signal transmission line environment compared to a wired connection.A movement is already emerging to apply wBMSs to EVs and large energy storage systems (ESSs). It is essential to apply highly reliable and low-latency wireless technology to realize wBMSs. Semiconductor manufacturers that develop wireless ICs often propose the use of wireless technology with their own standards. Nevertheless, many of them use 2.4 GHz ISM band radio. It is likely that many small and highly reliable wireless modules will be used in EV and ESS batteries. The applications to which wBMSs can be applied will continue to expand in the future as wireless modules evolve.<hr id="isPasted"><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1711016070057-1711016070057.png" class="fr-fic fr-dii">If you have any questions based on this article that you would like to discuss with an expert at Murata, don't hesitate to reach out. There's an entire team ready to support you with your question.<a href="https://www.murata.com/en-eu/contactform?&Detail=Wevolver%20request" target="_blank" rel="nofollow" class="button-main-action">GET IN TOUCH</a>

Several technologies have suddenly come into the spotlight in measures against global warming. Typical examples of these technologies include solar and wind power generation, electric vehicles (EVs), power semiconductors, and fuel cells. 

Optimizing Battery Performance: Advanced Management Systems for Enhanced Safety, Efficiency, and Utilization

LPWAN networks aim to conserve energy by operating devices with minimal power consumption. However, battery utilization efficiency depends on factors such as device power consumption, network connectivity, transmission power, and data rate. Understanding and optimizing these factors are key to achieving desired battery performance and ensuring reliable and uninterrupted device functionality.Efficient battery management not only reduces the frequency of battery replacements but also enhances the sustainability of IoT deployments. This is especially important for applications that require long-term monitoring, such as environmental sensing, asset tracking, and smart agriculture. By extending battery life, organizations can reduce operational costs, minimize environmental impact, and improve the overall viability and scalability of their IoT solutions.<h3>Optimizing Battery Life of LPWAN IoT Devices</h3>Battery life is a critical consideration for the successful deployment of IoT devices with limited power resources. Understanding and managing factors that influence battery life are essential for optimizing power consumption and maximizing operational efficiency.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzA4NTA0NDAxMjM1LW90aWktYmF0dGVyeS1wZXJmb3JtYW5jZS0xMDI0eDc2OC5wbmciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib"><h3 id="isPasted">Device Power Consumption&nbsp;<iframe id="645c016f1f67f100087c4425" width="250" class="specs-iframe" height="440" src="https://wevolver.com/iframe/specs/otii-arc-pro?iframe=true" frameborder="0" scrolling="no" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true">&nbsp;</iframe></h3>IoT device power consumption significantly affects battery life. Factors such as hardware architecture, sensor configurations, and firmware optimization play a crucial role. Leakage current from various components can cause energy loss. Firmware and software optimization are vital for enhancing battery efficiency. By employing efficient algorithms, minimizing unnecessary background tasks, and optimizing code execution, developers can reduce power consumption in the device's software stack.Implementing power management techniques can have a significant impact on battery life. These techniques may involve dynamically adjusting power levels based on network conditions, reducing power to peripheral components during idle periods, or optimizing data processing and filtering algorithms to minimize power consumption.<h3>Data Rate and Duty Cycle</h3>Data rate and duty cycle determine the frequency and duration of data transmission in LPWAN devices. Lower data rates and duty cycles reduce power consumption but result in longer transmission times. Striking the right balance between data rate, duty cycle, and application requirements is crucial for optimizing battery life while ensuring sufficient data throughput.<h3>Network Connectivity and Protocols</h3>The frequency of network connectivity and the size of message payloads transmitted by LPWAN IoT devices affect power consumption. Low power capabilities of the network, such as power save modes, spreading factor, and adaptive data rate mechanics of cellular and non-cellular LPWAN networks, can further enhance battery life. The choice of messaging protocol can have a negative impact on device longevity due to the level of transmission overhead and required quality of service (QoS). By finding the right balance between power efficiency and communication requirements, developers can maximize battery performance and extend the operational lifespan of their IoT devices.<h3>Sleep Mode and Wake-Up Interval</h3>Effectively utilizing sleep mode is a key strategy for conserving power in IoT devices. By defining appropriate wake-up intervals and adjusting sleep durations based on application requirements, developers can minimize power consumption during idle periods, leading to significant battery savings.<h3>Transmission Power and Range</h3>The transmission power level required for reliable communication affects battery life. Higher transmission power increases range but consumes more power. By optimizing transmission power settings based on the deployment environment and required range, battery life can be prolonged without compromising communication reliability.By considering and fine-tuning these factors, developers can make informed decisions to optimize power consumption and extend the battery life of IoT devices. In the following blogposts, we will delve deeper into strategies and techniques to choose the right battery and implement optimization measures for maximizing battery performance in LPWAN IoT deployments. If you can’t wait, download the <a href="https://www.qoitech.com/whitepaper/powering-iot-devices/" target="_blank">white paper</a>.

Battery performance is crucial for the successful operation of IoT devices, particularly in remote or inaccessible locations. They rely on battery power to sustain their operation over extended periods, and maximizing battery life directly impacts longevity, maintenance costs, and user experience.

Importance of IoT Battery Performance

<h2 dir="ltr" id="isPasted">FREE REPORT:&nbsp;Reducing Human Driver Error and Setting Realistic Expectations with Advanced Driver Assistance Systems</h2>Thousands die or are injured each year in automobile crashes. Bringing automated driving systems technologies into the advanced driver assist systems (ADAS) and connected vehicle space will help humans drive more safely and better prepare us for automated vehicles (AVs).Learn more about ADAS and ADS implementation with the goal of reaching zero deaths and serious injuries by downloading this FREE report from SAE International (valued at $50).&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzAxMTc1NjkyODg5LWh1bWFuIGVycm9yLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib"><iframe width="540" height="740" src="https://c8056756.sibforms.com/serve/MUIFAIm7QnvQQ9ZyzkX--H5jNS-TSb9GWr5SQBXi_SUjRPpt67CBveq_yevZYMSeiJ-O1dwYw05f2kl-Q7sfNDRem1Y-03GXYZV4qkTbJeR_K_VpJzgMk_8Ry8fjyfgJ7fAMrCmcRHc1KXsSTuhIU5p5pBa3F1-TGDgOdQgcF-pU8cSTrl8JF2j2b9gl6-5e66Ro-rltcIrGxsRG" frameborder="0" scrolling="auto" allowfullscreen="" style="display: block;margin-left: auto;margin-right: auto;max-width: 100%;" class="fr-draggable" data-gtm-yt-inspected-11="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe> <h2 dir="ltr">Electric vehicles in the construction industry</h2>The success of electric vehicles in the construction industry will largely be determined by battery prices being low enough that the total cost of ownership is cheaper than diesel alternatives. IDTechEx’s new report, “Electric Vehicles in Construction 2023-2043,” shows that there is a battery price tipping point, under which it will be cheaper over the vehicle lifetime to operate an EV. Selecting the right chemistry will be imperative for getting a low enough vehicle price. So why is a clear dichotomy seen between the batteries being deployed in China compared to Europe?Electric vehicles in construction are an emerging market. IDTechEx has built a database of more than 100 example makes and models across seven different construction-vehicle categories: mini excavators, excavators (&gt;6 tonnes), compact loaders, backhoe loaders, wheel loaders, telehandlers, and mobile cranes. However, with lots of vehicles yet to be released, only 49 database entries have confirmed chemistry information.Europe and China have more established markets for electric construction vehicles, which makes it possible to draw some conclusions about battery-chemistry trends from OEMs in these regions. What is obvious at this early stage is that Europe heavily favors NMC (nickel manganese cobalt) lithium-ion batteries, while China has chiefly chosen LFP (lithium iron phosphate) batteries.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzAxMTc1Nzg4MTQ4LXNhZSAxLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">Six of the top 10 largest construction companies have either a prototype or concept electric mini-excavator available in 2023. Image credit: IDTechEX.Battery requirements in construction vehicles So, why would one select NMC, LFP or even lead acid? A battery that electrifies construction equipment needs to have huge capacity and low cost. Some of these machines are extremely large and usually require concrete counterbalances to handle the massive loads they encounter. What this means for electrification is that battery weight isn’t much of an issue.Power density also is not a priority. Unlike electric cars, construction vehicles do not tend to have large power-demand spikes and are more likely to operate at a steady rate for a long time. As an example, some early Tesla Model S EVs had a 60kWh battery and a 210kW motor power, meaning its battery must be able to deliver a peak of 3.5C (power divided by capacity), typical for road cars and why they tend to favor power-dense chemistries like NMC.By contrast, the Volvo L25 electric compact loader has a battery capacity of 40kWh and a maximum motor power of 36kW, so the battery is only required to discharge at a maximum of 0.9C, well below road-car expectations.The same is true when considering the larger machines. The XCMG XE270E is a 27-tonne excavator with a battery capacity of 525kWh, but its motor is a paltry 140kW (~0.27C). In fact, research in the IDTechEx report shows that the vast majority of electric construction vehicles have a peak discharge requirement of less than 1C, with one-quarter of vehicles requiring less than 0.25C peak discharge.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzAxMTc1OTU1MjM4LWJhdHRlciBzYWUgMi5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib">Battery requirements vary depending on vehicle sizing and applications. Image credit: IDTechEXA low peak discharge requirement can be fulfilled by lead-acid batteries, which is likely why it was explored in the early days of construction electrification. The European examples that used lead acid were mainly from the mid-2010s, when lithium-ion technologies were still scaling and were much more expensive than lead acid. However, these vehicles were seriously limited, with low endurance and slow recharge times. Lead acid was replaced with lithium-ion once the newer technology became more financially viable.Both NMC and LFP offer the required performance for construction, coping with the peak discharge requirements and having high enough volumetric and gravimetric densities to fit in the machines. Speaking broadly, NMC tends to be a higher-performance battery than LFP, with better energy and power densities but coming at a premium. It would make sense then for the industry to select LFP. It offers all the needed performance while helping minimize the cost premium of building an electric vehicle – the number one priority for electric construction vehicles. So why does the European market mostly use NMC?<iframe width="640" height="360" src="https://www.youtube.com/embed/JGhYizlJung?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-gtm-yt-inspected-8="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true" data-gtm-yt-inspected-11="true" id="221148372" title="EC230 Electric customer pilot, the first electrified larger Volvo excavator"></iframe> Choosing between NMC and LFP The best explanation for why NMC dominates in Europe while LFP has taken off in China is a case of availability. Thus far, most of the construction-EV development in Europe has used battery-pack suppliers such as Northvolt, Forsee and Volta, and most of their products use NMC.IDTechEx’s research finds that more than 75% of the offerings from European and North American pack manufacturers use NMC. These companies have been supplying a range of industries, including heavy-duty road vehicles such as buses and trucks. These vehicles require high peak power to deal with acceleration events, hills, etc. and are better suited to NMC. But with battery pricing being a key factor in the success of electric construction vehicles, increased LFP uptake is likely in the future.Meanwhile, China already has a good supply of LFP solutions. As the country’s vehicle fleet has shifted to more electric vehicles, the domestic auto industry needed a more affordable solution that offered acceptable energy density (for an acceptable vehicle range). China’s electric construction industry has been able to build large batteries relatively quickly and deploy some huge machines, such as the already-referenced XCMG XE270E. By contrast, European and North American EV markets have focused on maximizing vehicle range, normally opting for the more expensive NMC chemistry, anticipating that their consumers will be more comfortable with the additional cost.Unfortunately, there is not much data concerning which battery chemistries North American or APAC-based OEMs favor. This is mostly because OEMs in these regions are not as far along in their electrification journeys. North America is a prime example. Caterpillar and John Deere have made a recent push with electric construction vehicles showcased at Bauma 2022, CES 2023 and CONEXPO 2023. However, these machines are still some years away from production, and battery chemistries are yet to be confirmed. An educated guess, however, would suggest that Caterpillar likely will use NMC for reasons similar to those driving decisions at European OEMs.<h3>Is sodium-ion a future candidate?</h3>Another possible contender for the construction industry is sodium-ion, an emerging chemistry that does not have an established market yet. The key thing to know is that sodium-based solutions can be produced at lower costs than lithium ones, but they will not offer the same performance capabilities. In this respect, the batteries have the same trade-offs as LFP batteries.The issue is that sodium-ion is not yet a scaled solution, so it is more expensive than both LFP and NMC while having worse performance. Sodium, therefore, does not make sense in the construction industry for the time being. However, if it can be scaled and then deliver the promised price reduction, sodium-ion could be a prime match for the needs of this nuanced market.The construction EV industry is still nascent, with few vehicles in series production. However, if recent activity and announcements are to be believed, the number of machines available in the next few years is going to explode. In IDTechEx’s report, a 10-year CAGR of 37% is forecasted, with the electric construction machine industry growing to a value of US$150 billion in 2043. All this growth will give rise to significant battery demand. Whether the solution ends up being NMC, LFP or perhaps even Na-ion, the evolution of this industry is underway and accelerating fast.Dr. James Jeffs, senior technology analyst at IDTechEx, wrote this research summary submitted to SAE Media. The "Electric Vehicles in Construction 2023-2043” report, including downloadable sample pages, can be accessed at&nbsp;<a href="http://www.idtechex.com/EVConstruction" target="_blank">www.IDTechEx.com/EVConstruction</a>.

NMC and LFP lithium-ion batteries find favor in different regions as OEMs move to electrify larger excavators and loaders.

Battery chemistries for construction EVs

In the era of electrification and digitalization, the health of batteries has emerged as a critical factor influencing the performance and longevity of various applications, particularly electric vehicles (EVs) and industrial batteries. Battery health, or the state of health (SoH), is a measure that indicates the level of degradation and remaining capacity of a battery, typically represented as a percentage of its initial capacity.As the world increasingly relies on these power sources, the ability to monitor and enhance battery health has become increasingly important. This article aims to explore the application of machine learning in battery health management, focusing on how it can aid in the charging and depletion of electric vehicles and other industrial batteries.1&nbsp;We will explore the challenges of implementing such technologies and how Edge Impulse, a leading platform for embedded machine learning, can address these issues.The impact of battery health on the operational effectiveness and lifespan of industrial batteries and electric vehicles emphasizes its importance. The number of cycles, temperature, and depth of discharge all impact how slowly batteries' storage capacity declines as they age and go through charge-discharge cycles. 1 This degradation can affect the performance of the devices they power, making battery health a crucial aspect of their maintenance and management.<iframe width="540" height="600" src="https://c8056756.sibforms.com/serve/MUIFAMyA6BGksOUPEokHuBnEmZRHhYgJ4RXb4BV0gvzN98ymNIvQdTcBFQnRVfviT6yZSFW_R2g1hENBu7p7Afnyv9Kt0unAAbfFU5mMQhBwI-8hQnKf2r1mmRKhUgDLmtk8bpVSZ7kZGpleCPqtYRv8_kkvODL7F4neGLNGgdpFDm9pPzoYpwbQkc0BU5GVOFoq8CSmD0DDvDjG" frameborder="0" scrolling="auto" allowfullscreen="" style="display: block;margin-left: auto;margin-right: auto;max-width: 100%;" class="fr-draggable" data-gtm-yt-inspected-9="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe> <h2 dir="ltr">Understanding Battery Health and Machine Learning</h2>Battery health, particularly in the context of electric vehicles and industrial batteries, refers to the capacity of a battery to store and deliver energy efficiently over its lifespan. It is a critical factor in the performance and longevity of electric vehicles and industrial applications that rely on battery power. Degradation in battery health can lead to reduced range in electric vehicles, frequent recharging, and battery replacement.2Machine learning, a subset of artificial intelligence, can be applied to monitor and improve battery health. It involves using algorithms and statistical models to perform tasks without explicit instructions, relying on patterns and inference. In battery health, machine learning can be used to analyze data from the battery and predict its health and lifespan.3The application of machine learning in battery health management is a rapidly evolving field. Machine learning algorithms can analyze vast amounts of data generated by batteries in real time, identifying patterns and making predictions that would be impossible for humans to do manually. This can lead to more accurate predictions of battery life, allowing for more efficient use of batteries and potentially extending their lifespan.Furthermore, anomaly detection can help identify potential issues before they become serious problems. Identifying unusual patterns in battery data allows it to flag potential issues and address them proactively, preventing further damage and extending the battery's useful life.4Predictive maintenance takes this further, using data to predict when a battery may fail or need servicing. 5 This allows maintenance to be scheduled at opportune times, minimizing downtime and potentially extending the battery's life.6 Integrating these machine learning concepts into battery health management represents a significant advancement in the field.<h2 dir="ltr">Challenges in Implementing Machine Learning for Battery Health</h2>Implementing machine learning for battery health monitoring and improvement is challenging. These technical and practical challenges can significantly impact the effectiveness of machine-learning applications in this field.One of the primary challenges is the accurate prediction of battery life. This is a critical aspect of the business case for electric vehicles, stationary energy storage, and emerging applications such as electric aircraft. Existing methods for battery life prediction are based on relatively small but well-designed lab datasets and controlled test conditions. However, incorporating field data is crucial to understanding how cells age in real-world situations. This comes with additional challenges because end-use applications have uncontrolled operating conditions, less accurate sensors, data collection and storage concerns, and infrequent access to validation checks.7Another challenge is the variability in battery usage conditions. In a lab setting, the cycling pattern of batteries can be closely controlled, and regular reference performance tests can be performed to quantify health. However, field data from real-world applications exhibits irregular cycling patterns, varying operating conditions, and path-dependent degradation mechanisms, making reliable predictions difficult. This setting is extremely relevant for industrial needs, such as predicting the remaining useful life of a customer’s electric vehicle or compliance with warranty conditions for grid storage systems; prognostics using real-world data remains an open research challenge.Moreover, implementing machine learning for battery health also faces challenges related to data requirements. The "curse of dimensionality" refers to the data needed to capture all combinations of operating conditions growing quickly with the number of investigated conditions. This is compounded by the relatively slow rate at which battery lifetime data can be acquired, taking several months or years of experiments for each change in chemistry, form factor, or manufacturing process.7While machine learning is promising for improving battery health monitoring and prediction, significant challenges remain. Overcoming these challenges will require innovative approaches that effectively combine machine learning techniques with physical models and leverage lab and field data.<h2>Edge Impulse: A Solution to the Challenges&nbsp;</h2>Edge Impulse is a leading platform in embedded machine learning, providing a comprehensive solution to the challenges faced in implementing machine learning for battery health monitoring and improvement. The platform is designed to handle real-world sensor data, making it particularly suited for battery health applications.Edge Impulse addresses these challenges by providing a platform that optimizes models for any Edge device. This means that regardless of the specific hardware used in a battery system, machine learning models can be tailored to perform efficiently on that device. This flexibility is crucial in overcoming the technical challenges of implementing machine learning in diverse real-world scenarios.8Furthermore, Edge Impulse provides tools for advanced data analysis that can help build high-quality sensor datasets and quickly detect data quality issues. This is particularly relevant in battery health, where accurate and high-quality data are crucial for effective monitoring and prediction.Edge Impulse has been used in various industries and applications to leverage machine learning for improved operational efficiency. For instance, Oura, a health technology company, used Edge Impulse to boost sleep-scoring accuracy by 17%.9 While this example is not directly related to battery health, it demonstrates the potential of Edge Impulse's machine-learning solutions in real-world applications.The predictive maintenance solutions offered by Edge Impulse could be used to predict when a battery might fail or need servicing, allowing for timely intervention and potentially extending the battery's life. Similarly, asset tracking and monitoring solutions could be used to monitor the health of batteries in real time, identifying potential issues before they become serious problems.&nbsp;Edge Impulse offers a promising solution to the challenges of implementing machine learning for battery health. By providing a flexible platform that can handle real-world sensor data and optimize models for any edge device, Edge Impulse is paving the way for more effective and efficient battery health management.<h2 dir="ltr">Conclusion</h2>Battery health is crucial for electric vehicles and industrial applications' performance and longevity. Machine learning offers a promising solution for battery health management, despite challenges in accurate life prediction, variable usage conditions, and data requirements. Edge Impulse, a leading platform in embedded machine learning, addresses these challenges by providing a flexible platform for real-world sensor data and model optimization. As these technologies continue to evolve, they hold significant potential for improving battery performance and lifespan, marking a substantial advancement in the field.<iframe width="540" height="600" src="https://c8056756.sibforms.com/serve/MUIFAMyA6BGksOUPEokHuBnEmZRHhYgJ4RXb4BV0gvzN98ymNIvQdTcBFQnRVfviT6yZSFW_R2g1hENBu7p7Afnyv9Kt0unAAbfFU5mMQhBwI-8hQnKf2r1mmRKhUgDLmtk8bpVSZ7kZGpleCPqtYRv8_kkvODL7F4neGLNGgdpFDm9pPzoYpwbQkc0BU5GVOFoq8CSmD0DDvDjG" frameborder="0" scrolling="auto" allowfullscreen="" style="display: block;margin-left: auto;margin-right: auto;max-width: 100%;" class="fr-draggable" data-gtm-yt-inspected-9="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe> <h2 dir="ltr">References</h2>[1] Dunn J. Battery State of Health – What is It? Why is It Important? The Equation. 2022 [cited 2023 Jul 27]. Available from:<a href="https://blog.ucsusa.org/jessica-dunn/battery-state-of-health-what-is-it-why-is-it-important/" target="_blank">&nbsp;https://blog.ucsusa.org/jessica-dunn/battery-state-of-health-what-is-it-why-is-it-important/</a><a href="https://chat.openai.com/c/5b60baf5-1652-4d90-bfeb-362ac40daad0#user-content-fnref-1%5E" target="_blank">&nbsp;</a><a href="https://chat.openai.com/c/5b60baf5-1652-4d90-bfeb-362ac40daad0#user-content-fnref-1%5E-2" target="_blank"></a>[2]: Battery University. (2023). How to Prolong Lithium-based Batteries. Retrieved from https://batteryuniversity.com/learn/article/how_to_prolong_lithium_based_batteries[3]: Zhang, S., Zhang, C., Xiong, R., &amp; He, H. (2020). Review the management of battery aging based on the digital twin driven by artificial intelligence. Journal of Energy Storage, 30, 101634. doi:10.1016/j.est.2020.101634[4]: Chandola, V., Banerjee, A., &amp; Kumar, V. (2009). Anomaly detection: A survey. ACM computing surveys (CSUR), 41(3), 1-58. doi:10.1145/1541880.1541882[5]: Mobley, R. K. (2002). An introduction to predictive maintenance. Elsevier.[6]: Sinha Roy, A. (2023). Predictive Maintenance: A New Way Ahead for Battery Management. Retrieved from <a href="https://www.spiceworks.com/tech/hardware/guest-article/battery-management-electric-vehicles/" target="_blank">https://www.spiceworks.com/tech/hardware/guest-article/battery-management-electric-vehicles/</a>[7] Samad NA, Kim Y, Siegel JB. The challenge and opportunity of battery lifetime prediction from field data. Joule. 2021;5(8):1-32. doi:10.1016/j.joule.2021.06.005[8]: Edge Impulse. (2023). Optimize AI for the edge. Retrieved from https://www.edgeimpulse.com/[9]: Edge Impulse. (2023). Learn how Edge Impulse helped Oura to boost sleep-scoring accuracy by 17%. Retrieved from https://assets-global.website-files.com/618cdeef45d18e4ef2fd85f3/628795dc61c12d55b0f4e769_Go-Deeper-On-Deep-Sleep-Oura.pdf

Edge AI platforms can assist engineers to monitor battery health systems.

Enhancing Battery Health with Machine Learning

This is the sixth article in an 8-part series featuring articles on Innovations in Electric and Autonomous Vehicles. The series presents an insight into the developments and challenges in the automotive sector as it undergoes massive transformations with the arrival of electric and self-driving vehicles. This series is sponsored by Mouser Electronics. Through the sponsorship, Mouser Electronics shares its passion for technologies that enable smarter and connected applications.The cost of Li-ion, the leading electric vehicle (EV) battery chemistry technology, will soon settle at a mature market value due to market dominance.[1] With that, there is an opportunity for alternate chemistry innovation to gain a share of the battery segment. One such chemistry, solid-state batteries, is poised to emerge as the leading chemistry for EV batteries.In this article, we present a comparison between the commonly used Li-ion batteries and the (relatively) new solid-state batteries for EVs. We also analyze some barriers preventing the mass adoption of the new battery technology.<h1 dir="ltr">Li-ion vs. Solid-State Electrolytes for Battery Electric Vehicles</h1>Li-ion is still leading the market for liquid-state electrolytes. But Li-ion is not without challenges: The chemistry carries higher costs as skyrocketing demand outstrips supply. In addition, there is an opportunity to improve the top safety concern of flammable liquid catching fire. Safety is one of the most critical success criteria for EVs to inspire public confidence, so the industry and safety regulators are searching for how to reduce the flammability risk.Solid-state batteries (using lithium metal as one of its elements) address the most pressing safety challenges of Li-ion. They are more stable and contain a higher energy density than Li-ion. In addition, solid-state comes from readily available materials, which reduces the need to mine. It also offers lower flammability, faster charging, and extended range.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjc2MTMzMzE1MDgzLTE2NzYxMzMzMTUwODMucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" width="720" height="288" class="fr-fic fr-dii">Fig. 1: Li-ion vs. Solid State BatteriesBarriers to the Wide-Scale Adoption of Solid-state Electrolytes for Electric VehiclesWith the advantages of safety, charge time, performance, and availability, solid-state is the future of EV batteries. However, there remain a few barriers to wide-scale adoption for battery developers.&nbsp;First, solid-state batteries will carry a higher development cost due to a lack of existing capital to produce mass quantities.There are also gaps in the solid lithium electrolyte material that degrade battery performance and service life when implemented into Battery Electric Vehicles (BEVs).&nbsp;In addition, solid-state batteries are prone to cracking, and it is best to charge them at 60&deg;C for optimal performance.Solid-state EV batteries are not yet mass-produced. As with any development material, optimizing the manufacturing process to scale profitably is essential. As a result, manufacturing challenges through the lack of experience with solid electrolyte materials would substantially delay wide-scale adoption. In addition, these challenges could shut down the EV battery plant, negatively impacting the public&#39;s first interaction with the new battery chemistry.To address development costs, automakers could vertically integrate to cut development costs and decrease supply risks, creating resiliency between original equipment manufacturers (OEMs) in the face of supply shortages. Their goal is to find a better solution for Li-ion batteries while reducing solid-state manufacturing costs.Having said that, OEMs are already shifting development to solid-state, given all their benefits. Adoption has already started: Toyota announced it will invest $13.5 billion by 2030 into solid-state batteries, and a group including Volkswagen, Ford, and BMW announced solid-state initiatives in the coming years.[2]<h1 dir="ltr">Conclusion</h1>Solid-state batteries address the flammability safety concerns with liquid-state batteries, charge faster, and provide a more extended driving range. Commissioning the capital and ramping supply of the batteries will aid the transition from liquid- to solid-state, preparing EVs for long-term success and massive consumer adoption.This article is based on an e-book by Mouser Electronics. It has been substantially edited by the Wevolver team and Electrical Engineer <a href="https://www.wevolver.com/profile/ravi.rao" target="_blank">Ravi Y Rao</a>. It&#39;s the sixth article from the Innovations in Electric and Autonomous Vehicles Series. Future articles will introduce readers to some more trends and technologies transforming the automotive sector.The <a href="https://www.wevolver.com/article/innovations-in-electric-and-autonomous-vehicles" target="_blank">introductory article</a>&nbsp;presented the different topics covered in the Innovations in Electric and Autonomous Vehicles Series.The <a href="https://www.wevolver.com/article/autonomous-and-electric-vehicles-the-future-of-mobility/" target="_blank">first article</a>&nbsp;discussed the present state of autonomous vehicles.The <a href="https://www.wevolver.com/article/cutting-down-emissions-with-mobility-as-a-service/" target="_blank">second article</a>&nbsp;explains MaaS and how improvements in automotive technologies are speeding up its adoption.The <a href="https://www.wevolver.com/article/a-deep-dive-into-the-new-v2x-and-cellular-v2x-architectures-based-on-5g/" target="_blank">third article</a>&nbsp;takes a look at how the 3GPP intends to use 5G in V2X applications with significant advantages over current dedicated short-range communication or other Cellular-V2X proposals.The <a href="https://www.wevolver.com/article/driver-monitoring-systems-for-ensuring-driver-alertness/" target="_blank">fourth article</a>&nbsp;explains Driver Monitoring Systems (DMS) and their role in reducing the possibility of mishaps due to human errorsThe <a href="https://www.wevolver.com/article/the-state-of-electric-vehicles-in-2023-trends-in-the-development-and-adoption-of-electric-vehicles/" target="_blank">fifth article</a>&nbsp;examines some of the ways EV technologies will evolve, and some of the obstacles they need to overcome before the automotive industry can transition to fully electricThe <a href="https://www.wevolver.com/article/solid-state-vs-li-ion-which-battery-tech-is-better-for-electric-vehicles/" target="_blank">sixth article</a>&nbsp;discusses solid-state batteries, a promising alternative to conventional Li-ion batteriesThe <a href="https://www.wevolver.com/article/active-noise-cancellation-in-electric-and-autonomous-vehicles/" target="_blank">seventh article</a>&nbsp;explains active noise cancellation and why it&rsquo;s a very effective solution for eliminating noises in automobilesThe <a href="https://www.wevolver.com/article/next-generation-vehicles-need-safe-human-machine-interfaces/" target="_blank">final article</a>&nbsp;focuses on Human Machine Interfaces, the sleek and stylish dashboards that are changing the way we interact with cars<h1 dir="ltr">About the sponsor: Mouser Electronics</h1>Mouser Electronics is a worldwide leading authorized distributor of semiconductors and electronic components for over 1,200 manufacturer brands. They specialize in the rapid introduction of new products and technologies for design engineers and buyers. Their extensive product offering includes semiconductors, interconnects, passives, and electromechanical components.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjc2MTMzMzM3OTk1LWltYWdlMi5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib"><h1 dir="ltr">References</h1>[1] David L. Chandler, &lsquo;The reasons behind lithium-ion batteries&rsquo; rapid cost decline&rsquo;, MIT News, 22nd November 2021, [Online], Available from: <a href="https://news.mit.edu/2021/lithium-ion-battery-cost-1122" target="_blank">https://news.mit.edu/2021/lithium-ion-battery-cost-1122</a>[2] Tim Kelly, &lsquo;Toyota to spend $13.5 bln to develop electric vehicle battery tech by 2030&rsquo;, Reuters, [Online], Available from: <a href="https://www.reuters.com/business/autos-transportation/toyota-spend-over-135-bln-ev-batteries-by-2030-2021-09-07/" target="_blank">https://www.reuters.com/business/autos-transportation/toyota-spend-over-135-bln-ev-batteries-by-2030-2021-09-07/</a>

Article #6 of Innovations in Electric and Autonomous Vehicles Series: Getting the capital equipment in place and ramping up the supply of batteries will help transition the market from liquid- to solid-state. Industry and consumers will both benefit.

Solid-State vs. Li-ion: Which Battery Tech is better for Electric Vehicles?

Article #6 of the "Why Edge?" Series. A short guide to how Edge AI can boost electric vehicle performance and safety when applied to the Battery Management System (BMS).


Why Edge AI for EV Battery Management

Formula Student Team from the Instituto Superior Técnico, University of Lisbon.

This year, Murata is sponsoring the Formula Student Team from the Instituto Superior Técnico, University of Lisbon, with a mixture of funding and electronic components. 


Keeping it cool while on track

This student article shows the synergetic effects of a furfuryl polymer coating and subsequent calcination leading to improved electrochemical performance of nickel-rich NMC622.

High-Performance Amorphous Carbon Coated Lithium-Nickel-Manganese-Cobalt-Oxide (NMC622) Cathode Material with Improved Capacity Retention for Lithium-Ion Batteries

Using public electricity and solar panels for the easy and hassle-free charging of Electric Vehicles is an interesting solution to combat the problem of the unavailability of Electric Vehicle Charging Stations.

Electric Vehicle Charging Station from Public Electricity and Solar Panels

This is the fourth article in a <a href="https://www.wevolver.com/article/how-to-select-the-right-reinforced-transformer-for-high-voltage-energy-storage-applications" rel="noopener noreferrer" target="_blank">5-part series</a> exploring power conversion. The series will provide insight into how the rapid electrification of vehicles and the switch to renewable energy is driving the demand for safe and reliable power conversion and electronic components.&nbsp;The articles were originally published in an&nbsp;<a href="https://www.mouser.com/news/bourns-power-ebook/mobile/index.html" rel="noopener noreferrer" target="_blank">e-magazine</a>, and have been substantially edited by Wevolver to update them and make them available on the Wevolver platform. This series is sponsored by&nbsp;<a href="https://www.wevolver.com/profile/mouser.electronics" rel="noopener noreferrer" target="_blank"></a><a href="https://www.wevolver.com/profile/mouser.electronics" rel="noopener noreferrer" target="_blank">Mouser Electronics</a>, an online distributor of electronic components. Through their sponsorship,&nbsp;Mouser Electronics&nbsp;supports engineers in designing sustainable and efficient applications for a greener future.&nbsp;<h1>Introduction</h1>The need to monitor the state of health of lithium-ion cells in battery packs during charging and discharging is a key requirement for Battery Management Systems (BMS) in high-energy applications such as hybrid electric vehicles (HEVs) and battery electric vehicles (BEVs). Maintaining performance and safe operation is of paramount importance, as lithium-ion chemistries are prone to degradation and aging issues. A dangerous thermal runaway condition can occur if the ambient temperatures are out of specification or if the batteries are undercharged or overcharged, possibly causing cracks in the carbon and lithium plating.The three parameters measured by the BMS (Figure 1) to determine the state of a cell’s health are cell voltage, temperature, and current. The traditional solution employed to measure these parameters has been the use of shunt resistors. These passive components feature a relatively high absolute tolerance of 5 percent. However, the overall accuracy, when combined with a current sense module, can be reduced to as low as 0.01 percent. This article provides helpful BMS design information on the accuracy level that can be obtained using Bourns® Model CSM2F Series shunt resistors combined with a current-sense module designed for this purpose.<div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE2NTgwNjQ0Mjk4LUlNQUdFIDEtMDEuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 788px;" class="fr-fic fr-dib">Figure 1: Block Diagram of Battery Management System.<h2 class="fr-img-space-wrap2">Bourns® Shunt Resistors for Battery Current Measurement</h2></div>Bourns offers three shunt resistor models qualified by Bourns for harsh environment energy storage applications. The resistive element in all three models consists of large copper terminals as can be seen in the examples of the CSM Series on the left. Given that the resistivity of copper is 1.72 x 10-8 Ωm and that the resistance will increase by 0.393 % for every extra degree Celsius in temperature, the overall coefficient of resistance between the two points will be higher than the resistivity of the resistor alloy (max. 50 ppm/˚C or 0.05 %/˚C). If the distance between the two measurement points in copper is 3 mm in total as is the case with CSM2F-8515, the temperature coefficient of resistance, or TCR, will increase from 50 ppm/˚C (TCR of element) to 150 ppm/˚C (TCR of combined element plus copper terminal). The maximum current these shunts can carry is quite high. The Bourns® Model CSM2F-7036, for example, using Ohm's Law can carry 1000 A, DC/DC at a maximum power 50 watts. A typical battery pack for an HEV is 24 kWH. This is equivalent to 500 ampere hours in a 48 V vehicle. Therefore, the current can be very high, especially during periods of high power such as acceleration when moving or fast charging when stopped.&nbsp;<h1>Recommendations for Signal Processing</h1><div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE2NTc5ODcwNzQ3LUlNQUdFIDMtMDEuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 788px;" class="fr-fic fr-dib">Figure 2: Block Diagram of Signal Processing Circuit and Photo of Experiment.&nbsp;Bourns developed the typical current source module block diagram (Figure 2) to evaluate a shunt-based current measurement system’s accuracy. The module consists of an Analog Front End (AFE) with a current sense amplifier with analog buffer, 24-bit ADC and Serial Peripheral Interface (SPI). Several high-voltage bidirectional current-sense amplifiers from ADI, such as the model <a href="https://www.mouser.com/Analog-Devices-Inc/Current-Sense-Amplifiers/AD8210-Series/_/N-1yyh4l4Z6o48gZ1yyhna8" target="_blank">AD8210</a> or <a href="https://www.mouser.com/Analog-Devices-Inc/Semiconductors/Amplifier-ICs/Current-Sense-Amplifiers/AD8211-Series/_/N-6o48g?P=1yyhna6Z1yyh4l4&gclid=CjwKCAjw34n5BRA9EiwA2u9k3-Sp4U4oA9MaKwWJwe3JEK-By0AiM23RZUkK8CTQqzRjiXoNY98kHxoCTzsQAvD_BwE" target="_blank">AD8211</a>, have gains of 20 and common-mode voltages of up to 65V.</div>To evaluate the shunt, Bourns tested its Model <a href="https://www.mouser.com/new/bourns/bourns-csm2f-resistors/" target="_blank">CSM2F-8518</a> (100μohm nominal resistance), as shown in Figure 2. A single-board microcontroller kit is programmed to communicate with the module over an SPI connection. The current for the measurement was generated using a precision current source.The first measurement to be determined is the resistance of the shunt. This is done using the known current from the current source and a precision 4-wire voltmeter. Once the actual resistance of the shunt is measured, then the voltage across the shunt using the current sense module can be compared with the actual resistance value.The current sense amplifier has a common mode voltage of 80V maximum, allowing for the module to be placed at the high end in 48V battery systems. The module also contains a surface-mount temperature sensor with a PWM output proportional to the ambient temperature. Figure 3 shows the temperature sensor output at room temperature. The amplifier power is supplied by a DC supply of +5V. This experiment’s power comes from a Low Drop Out (LDO) regulator with the original supply coming from the USB interface. For an isolated 5V supply, a low-power micro converter using the <a href="https://www.mouser.com/new/linear-technology/adi-lt8301-lt8302-converters/" target="_blank">ADI LTC8301</a> (flyback or push-pull) can provide the necessary isolation with the required safety level.Figure 4&nbsp;shows the data points collected from the A/D input terminals with an average of 22.44364mV and peak-to-peak variation of 0.007mV over the sampling period.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE2NTgwMjA4NTY1LUlNQUdFIDQtMDEtMDEuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 788px;" class="fr-fic fr-dib">Figure 3: Data in Degrees Celsius Recorded by the Module.<h1 class="fr-img-space-wrap2">Determining Measurement Accuracy</h1>The accuracy of the measurements at room temperature can be calculated using the following formula.The accuracy:<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE1Mjg4MzgxMDk4LXRlc3QgNC5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib">The data at several DC currents ranging from 10mA up to 20A was recorded, and the accuracy calculated (Figure 5). The accuracy tends to degrade once the currents increase beyond 10 amperes, and the shunt starts to heat up. The resistance value used to calculate the current will drift as a result, which has a negative impact on the accuracy of the measurements. To further assist designers, Bourns has developed a look-up table that shows the normalized increase or decrease of the resistance with temperature. With this data, the original value used for the resistance can be modified by the factor shown in Figure 6 and correlated with the temperature sensor reading.<h1>Helping Ensure BMS Safety and Long Life</h1>Currents of several hundred amperes are measured by BMS in various e-mobility applications during battery charging and discharging. The ability to measure current accurately provides critical information for safety and ensures long battery pack life. Using an ultra-low resistance shunt resistor, and a precision AFE, can provide very accurate readings from very high to very low current levels with accuracy tolerances of less than 0.01 percent. Also, temperature sensing, and look-up tables from Bourns, can improve measurement accuracy as the temperature increases.&nbsp;<iframe id="652e6c7b12dae5c3c94c9375" width="250" class="specs-iframe" height="440" src="https://wevolver.com/iframe/specs/azoteq-iqs231bev02-s-evaluation-kit?iframe=true" frameborder="0" scrolling="no" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe>This article has provided a proven methodology to measure the cell voltage, temperature, and current to determine the state of health of a battery cell. Key in this process are Bourns® current-sense amplifiers featuring low offsets and high common mode voltages that enable high accuracy with the shunt being placed at the high end in 48V applications.Bourns® <a href="https://www.mouser.com/new/bourns/bourns-csm2f-resistors/" target="_blank">Model CSM2F Series</a> shunt resistors are manufactured in an International Automotive Task Force-approved facility certified to build components for harsh environment applications such as in high-energy BMS used in HEVs and BEVs.This article was originally written by Mouser and Bourns in an&nbsp;<a href="https://www.mouser.com/news/bourns-power-ebook/mobile/index.html" rel="nofollow" target="_blank">e-magazine&nbsp;</a>and substantially edited by the Wevolver team.&nbsp;It's the fourth article of a 5-part series exploring power conversion. Future articles will dive into power conversion solutions for critical applications such as automotive and renewable energy. &nbsp;Article 1 explored <a href="https://www.wevolver.com/article/how-to-select-the-right-reinforced-transformer-for-high-voltage-energy-storage-applications" rel="noopener noreferrer" target="_blank">how designers can make design decisions when working with high-voltage energy storage systems. &nbsp;</a>Article 2 <a href="https://www.wevolver.com/article/rechargeable-batteries-for-greener-solutions" rel="noopener noreferrer" target="_blank">discussed the potential of rechargeable batteries.&nbsp;</a>Article 3 <a href="https://www.wevolver.com/article/selecting-battery-management-systems-transformers-for-isolated-communications-in-high-voltage-energy-storage" rel="noopener noreferrer" target="_blank">examined the method for selecting transformers for Battery Management Systems (BMS).&nbsp;</a>Article 4 <a href="https://www.wevolver.com/article/accurate-measurements-using-shunt-resistors-and-current-sense-modules-in-high-energy-storage-applications" rel="noopener noreferrer" target="_blank">explained the necessity of shunt resistors to deliver accurate Battery Management Systems.&nbsp;</a>Article 5 <a href="https://www.wevolver.com/article/innovative-transformer-solution-addresses-traditional-challenges" rel="noopener noreferrer" target="_blank">provided an overview of innovative transformer solutions for power conversion.</a><hr><h1>About the sponsor: Mouser</h1><a href="https://eu.mouser.com/" rel="nofollow" target="_blank"></a><a href="https://eu.mouser.com/" rel="nofollow" target="_blank"></a><a href="https://eu.mouser.com/" rel="nofollow" target="_blank">Mouser Electronics</a>&nbsp; is a worldwide leading authorized distributor of semiconductors and electronic components for over 1,100 manufacturer brands. They specialize in the rapid introduction of new products and technologies for design engineers and buyers. Their extensive product offering includes semiconductors, interconnects, passives, and electromechanical components.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE4NTY0Njg3ODM2LU1vdXNlciBiYW5uZXIgYXJ0aWNsZS5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib">

Article 4 of the Power Conversion Series. Shunt resistors combined with a current-sense module can deliver highly accurate battery management systems in high-energy applications.

Accurate Measurements using Shunt Resistors and Current Sense Modules in High-Energy Storage Applications

This is the third article in a<a href="https://www.wevolver.com/article/how-to-select-the-right-reinforced-transformer-for-high-voltage-energy-storage-applications" rel="noopener noreferrer" target="_blank">&nbsp;5-part series</a> exploring power conversion. The series will provide insight into how the rapid electrification of vehicles and the switch to renewable energy is driving the demand for safe and reliable power conversion and electronic components.&nbsp;The articles were originally published in an&nbsp;<a href="https://www.mouser.com/news/bourns-power-ebook/mobile/index.html" rel="noopener noreferrer" target="_blank">e-magazine</a>, and have been substantially edited by Wevolver to update them and make them available on the Wevolver platform. This series is sponsored by&nbsp;<a href="https://www.wevolver.com/profile/mouser.electronics" rel="noopener noreferrer" target="_blank"></a><a href="https://www.wevolver.com/profile/mouser.electronics" rel="noopener noreferrer" target="_blank">Mouser Electronics</a>, an online distributor of electronic components. Through their sponsorship,&nbsp;Mouser Electronics&nbsp;supports engineers in designing sustainable and efficient applications for a greener future.&nbsp;<h1>Introduction</h1>Battery Management Systems (BMS) connect to high-energy battery packs and manage the charging and discharging of the pack. They also monitor essential safety factors, including temperature, state of charge, and the pack&rsquo;s state of health. Providing additional application protection, the BMS can connect the battery and disconnect it from the load or charging source, as required.This article provides an overview of the key features of battery monitoring Integrated Circuits (ICs) typically specified in BMS. It includes background information on battery-cell chemistries related to the requirements for communications in high-voltage BMS. An application example will explain the technology benefits that Bourns&reg; transformers deliver to meet these specifications.<h1>Overview of Lithium-Ion Battery Chemistries</h1><div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE1MjI5NTI5MDc2LVBpY3R1cmUxLnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 788px;" class="fr-fic fr-dib">Figure 1: Forecasted growth in lithium-ion sales.Consulting and market research firm Avicennes[1] has <a href="http://www.avicenne.com/reports_energy.php" target="_blank">predicted</a> that the usage of lithium-ion (Li-ion) battery cells for energy storage and automotive applications will continue to grow significantly through 2025 with compound annual growth rates up to 30 percent forecasted in China&rsquo;s transport sector. As Li-ion usage grows and expands into new applications, it is important to understand the nature and use of various battery chemistries.</div>Table 1 summarizes the most popular chemistries by energy density, cell voltage, and charge rate for 48V and higher voltage battery packs. These next-generation packs match the power density required to drive new electronics and motor designs. The latest battery cell developments in different chemistries deliver the increased power energy over longer periods necessary for full-electric battery power.<div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE1MjI5NjE0NDQ4LVBpY3R1cmUyLnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 788px;" class="fr-fic fr-dib">Table 1: Summary of most common Li-on chemistries for battery applications.&nbsp;There are several factors to consider when choosing the chemistry for a battery-powered application. &nbsp;As can be seen in Table 1, Lithium Nickel Manganese Cobalt (NMC) with Graphite has the highest energy density among the commonly used chemistries. This is advantageous for heavy loads such as consumer energy storage or plug-in electric vehicles. However, the disadvantage of this chemistry is that it creates a higher risk of lithium plating on the anodes, which can reduce battery life and lead to thermal runaway (fire or explosion). The potential for these harmful conditions can be exacerbated by today&rsquo;s faster-charging connectors.</div>Lithium Titanate (LTO) has a lower energy density than NMC and does not suffer from the problem of cracking graphite, which together improves the estimated battery life. The lower internal resistance of LTO facilitates faster-charging rates making this battery chemistry beneficial for plug-in electric vehicles (EVs). The downside is the higher cost for heavier battery packs as more cells are needed to provide the necessary energy in kilowatt hours (kWh).Lithium chemistries have very narrow operating temperature ranges, typically from 20&deg;C to 40&deg;C. Operating outside these temperatures leads to a loss of capacity and a shorter lifespan. Elevated temperatures can also cause further degradation and a thermal runaway condition. <a data-lf-fd-inspected-kn9eq4roawkarlvp="true" href="https://www.nasa.gov/pdf/287383main_RP-08-75%2006-069-I%20NASA%20Aerospace%20Flight%20Battery%20Program%20_Part%20I-Volume%20II_FINAL_7-10-08_.pdf" target="_blank">A paper by NASA</a>, which studied the protection within 18,650 cells, found that the interrupt devices in all the cells connected in series and parallel were not as effective as single cells in preventing thermal runaway during fault conditions[2]. This study illustrates the strong need for a Battery Management System when multiple cells are interconnected.<div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE1MjM1MjE2MTcxLVBpY3R1cmUzLnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 788px;" class="fr-fic fr-dib">Figure 2: Block diagram showing the battery management system in relation to the battery pack.&nbsp;&nbsp;A typical battery monitor IC (Figure 3) measures cell voltage and pack temperature and performs cell balancing. In some models, there is also a current sense input port for shunt-based current measurement. Including this feature makes sense in 48V systems that use a limited number of battery cells and do not experience hazardous voltage levels and, hence, monitoring ICs.</div>Conversely, it does not add a lot of value to integrate a current sense function into an IC for high-voltage battery packs. These packs require only one current sensing chip and several monitoring ICs to monitor the pack&rsquo;s individual cells. For instance, the <a href="https://mynissanleaf.com/viewtopic.php?t=3498" target="_blank">2011 Nissan&reg; Leaf&reg;</a> has a working voltage of 360V and energy of 24kWh (NMC technology)[3]. The structure of the pack is 96S2P (192 cells). A simpler way to put it: If each monitoring IC can check 10 cells, then at least 20 monitoring ICs will be needed. Another consideration in high-voltage battery packs is that the BMS IC module or board must be located on top of the shunt resistor, which can pose a mechanical design challenge.<h1><div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE1MjM1MjMzNTk3LVBpY3R1cmU0LnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 788px;" class="fr-fic fr-dib">Figure 3: Block diagram of BMS IC.<h1 class="fr-img-space-wrap2">BMS High Voltage Communications</h1></div></h1>The BMS typically has two ports for isolated communications, allowing battery monitoring modules to be daisy-chained throughout the battery pack. The source and sink currents of the serial port drivers are balanced, enabling the IC to drive a transformer without saturating it. With a rated working voltage of several hundred volts, the transformer provides the necessary protection of the communications line from any hazardous voltage coming from the battery pack. &nbsp;Furthermore, the drivers on the IC encode a four-line serial peripheral protocol into the differential signal needed for isolated communication from board to board.Serial Peripheral Interface (SPI) is an interface bus commonly used to send data where one device or &ldquo;master&rdquo; transmits a clock pulse and control bit to a series of slaves. On each clock pulse, the slave either reads a command from the master, or transmits its data on the data line if the control bit is inverse. In this way, a central battery controller IC (master) can interrogate each monitoring IC (slave) in turn and retrieve necessary voltage and temperature information from the whole pack. In addition, the transformer and integrated common mode choke filter out common-mode noise from the daisy-chained network.<div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE2NTc5MzE0Mjc4LW1vdXNlciAzIG5ldy5wbmciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 788px;" class="fr-fic fr-dib">Figure 4: BMS transformer with Center Tap Capacitor and Resistor. Right: Image of SPU Signal.&nbsp;Although BMS ICs have balanced currents on their I/O pins, most manufacturers recommend a center-tapped transformer. These have been found to improve Common Mode Noise Rejection (CMNR) if a filter capacitor and termination resistor are used, Figure 4.</div><h1>Bourns&reg; BMS Transformer Safety Features</h1>The windings inside the Bourns&reg; Model <a href="https://www.mouser.com/new/bourns/bourns-bms-transformers/" target="_blank">SM91501AL</a> transformer use enameled fully insulated wire (FIW) that passes the dielectric strength (Hi-POT) test of 4.3kV (1mA, 60 seconds). Per Table 2N of IEC 60950[4], the minimum creepage distance for material group I, pollution degree 2 of functional insulation for a working voltage of 1600V is 8mm. The Bourns&reg; Model SM91501AL transformer datasheet shows a minimum 10mm creepage distance. This is because the actual tracking distance over the transformer&rsquo;s surface and chokes has been calculated at 10.4mm in the samples measured.The replacement test for IEC 60950 (IEC 62368-1)[5], which becomes mandatory in June 2019 for audio/video, information technology, and communication equipment will recognize FIW in the future. The use of FIW might qualify the device as having reinforced insulation with a lower working voltage (depending on the standard) of approximately 800V. This might allow the device to meet UL listing requirements and enable its use in additional applications such as consumer energy storage, which mandate reinforced insulation.Recommended Electrical CharacteristicsSome IC manufacturers&rsquo; recommended primary inductance values will depend on the voltage of the communication signals, the pulse widths, and the frequency. &nbsp;Bourns designed its Model SM91501AL transformer with a primary inductance span between 150&micro;H and 450&micro;H over an operating temperature range of -40&deg;C to +125&deg;C. &nbsp;The inductance is directly proportional to the permeability of the core. The permeability of the ferrite core of a transformer is temperature-dependent and tends to increase with temperature. Therefore, the Bourns&reg; model&rsquo;s primary inductance will drift up toward 450&micro;H at the upper end of the temperature range. This is the reason for the large variation in the inductance value, as specified on the datasheet. <div class="fr-img-space-wrap"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE1MjM1NDQ5MjAyLVBpY3R1cmU2LmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 788px;" class="fr-fic fr-dib">Figure 5: Bourns Model SM91501AL Transformer on Bourns&#39; BMS Demonstration Board.&nbsp;The BMS IC and transformer&rsquo;s noise immunity can be evaluated using a bulk current injection (BCI) test. The BCI test injects current into the twisted pair lines at set levels over a frequency range of 1MHz to 400MHz with the bit error rate being measured. A 40mA BCI test level is sufficient for most industrial applications. The 200mA test level is typically used for automotive testing. The Bourns&reg; Model SM91501AL and <a href="https://www.mouser.com/new/bourns/bourns-bms-transformers/" target="_blank">SM91502AL</a> have been evaluated by certain BMS IC manufacturers for select automotive applications and have successfully passed BCI requirements.</div><h1>Summary and Conclusions</h1>Li-ion battery power demand is predicted to grow at a CAGR of 20 percent to 30 percent over the next eight years. Battery Management Systems that integrate isolated communications are expected to be an important part of the battery system&rsquo;s safety and security. An effective and reliable BMS will help increase Li-ion cells&rsquo; lifespan while also enhancing safe operation for end-users.Offering an optimal protection solution for isolated communications in industrial and consumer BMS applications, Bourns engineered its latest Model SM91501AL and SM91502AL BMS transformers with the higher working voltages of 1600V and 1000V, respectively. They feature an inductance value of 150&micro;H and 450&micro;H over an operating temperature range of -40˚C to + 125˚C, which meets higher voltage BMS requirements. Additionally, the transformer windings use fully insulated wire passing the dielectric strength (Hi-POT) test, further increasing electrical insulation protection for overvoltage transients.Bourns&reg; Model SM91501AL and SM91502AL have been tested by several BMS IC companies in their test laboratories which found them to function well with their chipsets, passing the necessary BCI tests.This article was originally written by Mouser and Bourns in an&nbsp;<a href="https://www.mouser.com/news/bourns-power-ebook/mobile/index.html" rel="nofollow" target="_blank">e-magazine&nbsp;</a>and substantially edited by the Wevolver team.&nbsp;It&#39;s the third article of a 5-part series exploring power conversion. Future articles will dive into power conversion solutions for critical applications such as automotive and renewable energy. &nbsp; Article 1 explored <a href="https://www.wevolver.com/article/how-to-select-the-right-reinforced-transformer-for-high-voltage-energy-storage-applications" rel="noopener noreferrer" target="_blank">how designers can make design decisions when working with high-voltage energy storage systems. &nbsp;</a>Article 2 <a href="https://www.wevolver.com/article/rechargeable-batteries-for-greener-solutions" rel="noopener noreferrer" target="_blank">discussed the potential of rechargeable batteries.&nbsp;</a>Article 3 <a href="https://www.wevolver.com/article/selecting-battery-management-systems-transformers-for-isolated-communications-in-high-voltage-energy-storage" rel="noopener noreferrer" target="_blank">examined the method for selecting transformers for Battery Management Systems (BMS).&nbsp;</a>Article 4 <a href="https://www.wevolver.com/article/accurate-measurements-using-shunt-resistors-and-current-sense-modules-in-high-energy-storage-applications" rel="noopener noreferrer" target="_blank">explained the necessity of shunt resistors to deliver accurate Battery Management Systems. </a>Article 5 <a href="https://www.wevolver.com/article/innovative-transformer-solution-addresses-traditional-challenges" rel="noopener noreferrer" target="_blank">provided an overview of innovative transformer solutions for power conversion.</a><h1>References</h1>1. Avicennes, Christophe, Pillot, Rechargeable Battery Market 2017-2025 The Battery Show, Hannover, May 15, 2018&nbsp;2. &nbsp;NASA, Jeevarajan, Judith A., Safety Limitations Associated with Commercial 18650 Lithium-ion Cells presented at Lithium Mobile Power and Battery Safety 2010, Boston, MA&nbsp;3. &nbsp;Hayes, J. G., &amp; Goodarzi, G. A. (2018). Electric powertrain: Energy systems, power electronics and drives for hybrid, electric and fuel cell vehicles. Hoboken, NJ: John Wiley &amp; Sons.&nbsp;4. International Electrotechnical Commission, Information technology equipment &ndash; Safety &ndash; Part 1: General requirements IEC 60950-1 Edition 2, 2005&nbsp;5. International Electrotechnical Commission, Audio/Video, Information and Communication Technology Equipment- Part 1: Safety Requirements IEC 62368-1 Edition 2.0 2014-02&nbsp;<hr><h1>About the sponsor: Mouser</h1><a href="https://eu.mouser.com/" rel="nofollow" target="_blank"></a><a href="https://eu.mouser.com/" rel="nofollow" target="_blank"></a><a href="https://eu.mouser.com/" rel="nofollow" target="_blank">Mouser Electronics</a> is a worldwide leading authorized distributor of semiconductors and electronic components for over 800 industry-leading manufacturers. They specialize in the rapid introduction of new products and technologies for design engineers and buyers. Their extensive product offering includes semiconductors, interconnects, passives, and electromechanical components.&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjE4NTY0Nzg3OTU5LU1vdXNlciBiYW5uZXIgYXJ0aWNsZS5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib">

Article 3 of the Power Conversion Series. Battery Management Systems (BMS) monitor essential safety factors in high-energy battery packs.

Selecting Battery Management Systems Transformers for Isolated Communications in High-Voltage Energy Storage

This is the fifth article in a <a href="https://www.wevolver.com/article/higher-reliability-and-longer-lifetimes-with-advanced-battery-management-in-healthcare-energy-storage-systems" rel="noopener noreferrer" target="_blank" style="border: 5px solid green;">5-part series (GOOD)</a> exploring Energy Storage Systems (ESS). The series will provide insight into emerging technologies, covering topics including battery manufacturing, testing, and application.The articles were originally published in an e-magazine, and have been substantially edited by Wevolver to update them and make them available on the Wevolver platform. This series is sponsored by Mouser, an online distributor of electronic components. Through their sponsorship,&nbsp;<a href="about%3Ablank" target="_blank" style="border: 5px solid green;">Mouser Electronics (GOOD)</a>&nbsp;supports the growth of a sustainable future fuelled by renewable and distributed generation technologies.<h1>Introduction</h1>Driven by tighter CO2 regulations and more eco-conscious consumers (BAD), the pace of migration to electric vehicles continues to accelerate. This is despite the high cost of the batteries, which stubbornly remain approximately half of the vehicle's overall cost.While many factors determine the cost of the battery, one area in which manufacturers can make significant headway in reducing cost is during the final stages of manufacturing. Specifically, during the battery formation and testing which can account for up to 20 percent of an EV’s battery cost.Battery formation and testing is a time-consuming process involving multiple charges and discharges that activate a battery’s chemistry. It can take up to two full days. This necessary procedure readies the battery for use and is critical to ensure its reliability and quality. Because of how slow the process is, it is a significant bottleneck that prevents battery manufacturing from achieving greater throughput, which would lower the overall cost to produce batteries. Partnerships between EV battery manufacturers and suppliers with formation and test systems expertise are allowing them to increase their attention to reducing the time and cost involved at this crucial stage of manufacturing while still maintaining the precision required for advanced battery chemistries.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzMTU0NTA3NTM3LW5pc3Nhbi1tZmctOTAwLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 788px;" class="fr-fic fr-dib"><h1>Faster Throughput Equals Lower Battery Cost</h1>To decrease the cost of batteries, manufacturers need to take a holistic approach that starts by leveraging suppliers’ system-level expertise to reduce the overall battery test circuit footprint while increasing the number of channels. It’s important to note that both must be done while maintaining the accuracy, precision, reliability, and speed of their battery formation and test measurements to ensure safety, performance, and reliability requirements are met.This is not easy to do. For the front end, the power supplies driving the battery charging circuits need to be tightly controlled. Going deeper, battery formation (BAD) and testing requires close monitoring of current and voltage profiles used during battery cycling to prevent overcharging and undercharging. This ensures safety during tests, while also maximizing battery longevity, which greatly lowers overall cost of ownership for the end user.For these critical battery measurements, very high-quality instrumentation amplifiers (in-amps) and associated shunt resistors are needed to measure battery charge/discharge current to better than ±0.05% accuracy, even under harsh factory conditions. The same level of accuracy applies to the difference amplifiers used to monitor the voltage over the entire thermal operational range.&nbsp;There are several ways to incorporate these components into a full solution, but it is a significant challenge to maximize performance and minimize the system footprint. ADI trys to combat this with the integration of the analog front end, power control, and monitoring circuits in a single IC, the <a href="about%3Ablank" target="_blank" style="border: 5px solid green;">AD8452 (GOOD)</a>. These ICs can include battery reversal prevention, overvoltage protection switches, and smart controls to prevent overcharge of batteries, and they can reduce the system footprint by 50 percent. This suite of capabilities allows battery manufacturers to incorporate more capabilities into test systems that will simultaneously make more efficient use of factory floor space. Moreover, they allow manufacturers to design systems with more functionality and more robust testing procedures.<iframe src="//players.brightcove.net/706011717001/HJgoScClQ_default/index.html?videoId=5815766383001" allowfullscreen="" frameborder="0" class="fr-draggable" style="width: 789px; height: 459px;" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe>Efficient power conversion is another opportunity to drive further system performance. By using advanced switching architectures, test systems can minimize power consumption by enabling bidirectional energy exchange with the grid. Efficient power conversion also reduces the need for heat management equipment, which can add to the system’s overall cost and power consumption. The net result is a reduction in wasted energy and manufacturing cost. Enabling these capabilities requires an appreciation of system features, such as isolated gate drivers, that support the faster switching needs of newer silicon carbide and gallium nitride power switching technologies.The benefits of working closely with suppliers who have system-level expertise and a broad portfolio of products goes beyond having access to more sophisticated components and building blocks. It also gives battery manufacturers access to reference designs for system architectures that can be more easily adopted, making time to market three to four times faster than if a battery manufacturer were to develop a formation and test system from scratch.<h1>Conclusion</h1>The global demand for EVs will&nbsp;increase at a Compound Annual Growth Rate of 21 percent out to 20211. The need for close partnerships between battery manufacturers and suppliers couldn’t be greater. Suppliers need to provide reliable, proven solutions that enable manufacturers’ systems to achieve new levels of efficiency. The best suppliers can help manufacturers bring these new capabilities to market even faster, and the results will allow battery and electric vehicle production to flourish.This article was originally written by Vikas Choudhary for Mouser and substantially edited by the Wevolver team. It's the final article of a 5-part series exploring Energy Storage Systems (ESS). Future articles will explore Communication Solutions for Essential Monitoring of Solar PV and Energy storage, electric vehicle production futures, and battery monitoring systems for lithium-ion solutions.&nbsp;<a href="https://www.wevolver.com/article/higher-reliability-and-longer-lifetimes-with-advanced-battery-management-in-healthcare-energy-storage-systems" rel="noopener noreferrer" target="_blank" style="border: 5px solid green;">Article one (GOOD)</a> outlined the Energy Storage Systems in healthcare applications. &nbsp;<a href="https://www.wevolver.com/article/icoupler-isolated-communication-solutions-for-essential-monitoring-of-solar-pv-and-energy-storage" rel="noopener noreferrer" target="_blank" style="border: 5px solid green;">Article two (GOOD)</a> explained communication systems for energy storage.&nbsp;&nbsp;<a href="https://www.wevolver.com/article/battery-stack-monitor-maximizes-performance-of-li-ion-batteries-in-hybrid-and-electric-vehicles" rel="noopener noreferrer" target="_blank" style="border: 5px solid green;">Article three (GOOD)</a>&nbsp;gave an overview of battery stack monitoring systems for li-on batteries.<a href="https://www.wevolver.com/article/critical-design-considerations-in-estimating-the-state-of-lithium-ion-batteries" rel="noopener noreferrer" target="_blank" style="border: 5px solid green;">Article four (GOOD)</a>&nbsp;provided a deep analysis of the critical design considerations in estimating the state of lithium-ion batteries.<hr><h1>About the sponsor: Mouser</h1>Mouser Electronics is a worldwide leading authorized distributor of semiconductors and electronic components for over 800 industry-leading manufacturers. They specialize in the rapid introduction of new products and technologies for design engineers and buyers. Their extensive product offering includes semiconductors, interconnects, passives, and electromechanical components.<h1><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzMTU0NjQzMDQ1LW1vdXNlciBsb2dvIGZvb3Rlci5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 788px;" class="fr-fic fr-dib"> References</h1>1 <a href="about%3Ablank" target="_blank" style="border: 5px solid green;">Electric Vehicle Market by Propulsion (BEV, PHEV, FCEV), Vehicle (PC,CV), Charging Station (Normal, Super, Inductive), Charging Infrastructure(Normal, Type-2-AC, CHAdeMO, CCS, Tesla SC), Power Output, Installation,and Region—Global Forecast to 2025. (GOOD)</a> MarketsandMarkets, June 2018

Article 5 of our Energy Storage Series: Reducing cost is during the final stages of battery manufacturing can assist the migration to electric vehicles.

Scaling Electric Vehicle Production Requires Advanced Battery Formation and Test Systems

This is the fourth article in a<a href="https://www.wevolver.com/article/higher-reliability-and-longer-lifetimes-with-advanced-battery-management-in-healthcare-energy-storage-systems" rel="noopener noreferrer" target="_blank">&nbsp;5-part series</a> exploring Energy Storage Systems (ESS). The series will provide insight into emerging technologies, covering topics including battery manufacturing, testing, and application.The articles were originally published in an e-magazine co-authored by Martin Murnane and Adel Ghazel and have been substantially edited by Wevolver to update them and make them available on the Wevolver platform. This series is sponsored by Mouser, an online distributor of electronic components. Through their sponsorship, <a href="about%3Ablank" target="_blank">Mouser Electronics</a> supports the growth of a sustainable future fuelled by renewable and distributed generation technologies.<h1>Introduction</h1>Lithium-ion batteries get employed in many vital applications, including energy storage (ESS), electric vehicles (EV), and EV chargers. In these applications, it is crucial to measure the state of charge (SOC) of the cells, which is defined as the available capacity (in Ah) and expressed as a percentage of its rated capacity. The SOC parameter can enable one to assess the potential energy of a battery. It is critically important to estimate the state of health (SOH) of a battery, which gives a measure of the battery’s lifetime, i.e. the battery’s ability to store and deliver electrical energy compared with a new battery. This article reviews the algorithms utilized for SOC and SOH estimation based on the coulomb counting method, the voltage method, and the Kalman filter method.<h1>Battery SOC Measurement Principle</h1>Accurate SOC estimation is one of the main tasks of battery management systems. It helps improve the system performance and reliability, and lengthen the lifetime of the battery (SOH). Precise SOC estimation of the battery can avoid unpredicted system interruption and prevent the batteries from being overcharged and over discharged, both of which can cause permanent damage to the battery's internal structure. &nbsp;However, since battery discharge and charge involve complex chemical and physical processes, accurate estimations of the SOC are not apparent under various operation conditions.The general approach for measuring SOC is to accurately measure both the coulombs and current flowing in and out of the cell stack under all operating conditions and the individual cell voltages of each cell in the stack. This data gets employed with previously loaded cell-pack data for the exact cells getting monitored to develop an accurate SOC estimate. The additional data required for such a calculation includes the cell temperature, whether the cell is charging or discharging when the measurements get made, the cell age, and other relevant cell data obtained from the cell manufacturer. Sometimes it is possible to get characterization data from the manufacturer of how their Li-ion cells perform under various operating conditions. Once a SOC has been determined, it is up to the system to keep the SOC updated during subsequent operation, essentially counting the coulombs that flow in and out of the cells. This approach's accuracy can be derailed by not knowing the initial SOC to an accurate enough state and by other factors, such as self-discharge of the cells and leakage effects.<h1>Technical Specifications</h1>This article encompasses the design and development of a coulomb counting evaluation platform to get utilized for SOC and SOH measurement for a typical energy storage module, which in this case is a 48V module, typically comprising 12 to 16 Li-ion cells. The Battery Management System (BMS) periodically measures each cell's voltage value and the battery pack’s current voltage, utilizing appropriate ADCs and sensors, and will run the SOC estimation algorithm in real-time. This algorithm &nbsp;uses measured voltage and current values and some other data collected by temperature sensors.<h1>SOC and SOH Estimation Methods Overview</h1>Regarding SOC and SOH estimation methods, three approaches mainly find employment: (1) a coulomb counting method, (2) voltage method, and (3) Kalman filter method.<h2>Coulomb Counting Method</h2>The coulomb counting method, also known as ampere-hour counting and current integration, is the most common technique for calculating the SOC. This method employs battery current readings mathematically integrated over the usage period to calculate SOC values given by:<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDY4MTU1MjU5LTEgbS5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib">Where SOC(t0) is the initial SOC, Crated is the rated capacity, Ib is the battery current, and Iloss is the current consumed by the loss reactions.The coulomb counting method then calculates the remaining capacity by merely accumulating the charge transferred in or out of the battery. This method's accuracy is linked &nbsp;primarily to a precise measurement of the battery current and accurate estimation of the initial SOC. With a previously known capacity, which might be memorized or initially estimated by the operating conditions, the SOC of a battery can be calculated by integrating the charging and discharging currents over the operating periods. However, the releasable charge is always less than the stored charge in the charging and discharging cycle. In other words, there are losses during charging and discharging. These losses, also with the self-discharging, cause accumulating errors. For more precise SOC estimation, these factors should get consideration. Additionally, the SOC should get recalibrated regularly, and the declination of the releasable capacity should get considered for a more precise estimate.<h2>Voltage Method</h2>The SOC of a battery, (its remaining capacity) can be determined using a discharge test under controlled conditions. The voltage method converts a reading of the battery voltage to the equivalent SOC value using the known discharge curve (voltage vs. SOC) of the battery. However, the voltage is more significantly affected by the battery current because of the battery’s electrochemical kinetics and temperature. It is possible to make this method more accurate by compensating the voltage reading by a correction term proportional to the battery current and by using a lookup.<h3>Kalman Filter Method</h3>The Kalman filter is an algorithm to estimate the inner states of any dynamic system—it can also &nbsp;determine the SOC of a battery. Kalman filters were introduced in 1960 to provide a recursive solution to optimal linear filtering for both state observation and prediction problems. Compared to other estimation approaches, the Kalman filter automatically provides dynamic error bounds on its state estimates. By modeling the battery system to include the wanted unknown quantities (such as SOC) in its state description, the Kalman filter estimates their values and gives error bounds on the estimates. It then becomes a model-based state estimation technique that employs an error correction mechanism to provide real-time predictions of the SOC. It can get extended to increase the capability of real-time SOH estimation using the extended Kalman filter. Notably, the extended Kalman filter is applied when the battery system is nonlinear, and a linearization step is needed. Kalman filtering is an online and a dynamic method, and it requires a suitable model for the battery and precise identification of its parameters. &nbsp;It also needs a large computing capacity and an accurate initialization.Other methods for SOC estimation include &nbsp;impedance spectroscopy, based upon cell impedance measurements, employing an impedance analyzer in real-time for both charge and discharge. Although this technique can get used for Li-ion cells SOC and SOH estimation, it was omitted in this article since it is based on external measurements utilizing instrumentation. The methods based on the electrolytes’ physical properties and artificial neural networks are not applicable for Li-ion batteries.<h1>Technical Principle</h1>Next, we’ll dive into the technical aspect of the topic, however for a more detailed description and equations, refer to the full article, <a href="about%3Ablank#TextLinks-12" target="_blank">A Closer Look at SOC\SOH Estimation Techniques</a>. The releasable capacity (Creleasable) of an operating battery is the released capacity when it gets completely discharged. Accordingly, the SOC is defined as the percentage of the releasable capacity relative to the battery rated capacity (Crated), given by the manufacturer.&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDY4MTY5MDY0LTJtLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 788px;" class="fr-fic fr-dib">A fully charged battery has the maximal releasable capacity (Cmax), which can be different from the rated capacity. In general, Cmax is, to some extent, different from Crated for a newly used battery and will decline with the used time. It can get utilized for evaluating the SOH of a battery.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDcwMDQ1NDc5LTNtLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">When a battery is discharging, the depth of discharge (DOD) can get expressed as the percentage of the capacity that has gotten discharged relative to Crated,<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDcwMDc0MzUzLTRtLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">Where Creleased is the capacity discharged by any amount of current. With a measured charging and discharging current (Ib), the difference of the DOD in an operating period (Ʈ) can be calculated by<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDcwNDIyNDgyLTVtLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">where Ib is positive for charging and negative for discharging. As time elapsed, the DOD is accumulated<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDcwMjM3Mzc4LTZtLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">To improve the accuracy of estimation, the operating efficiency denoted as ŋ is considered and the DOD expression becomes,<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDcwNDUxNjYxLTdtLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">With ŋ equal to ŋc during the charging stage and equal to ŋd during the discharging stage. Without considering the operating efficiency and the battery aging, the SOC can get expressed as<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDcwNDc0NjI1LThtLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">Considering the SOH, the SOC is estimated as<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzNDcwNDg1NDQ2LTltLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 300px;" class="fr-fic fr-dib">The estimation process is based on monitoring the battery voltage (Vb) and Ib. The battery operation mode can be understood from the amount and the direction of the operating current. The DOD is adding up the drained charge in the discharging mode and counting down with the accumulated charge into the battery for the charging mode. After correction with the charging and discharging efficiency, a more accurate estimation can get realized. The SOC can then get estimated by subtracting the DOD quantity from the SOH one. When the battery is open-circuited with zero current, the SOC is directly obtained from the relationship between the OCV and SOC.Note that the SOH can get reevaluated when the battery is either exhausted or fully charged, and manufacturers specify the battery operating current and voltage. The battery may be considered drained when the loaded voltage (Vb) becomes less than the lower limit (Vmin) during the discharging. In this case, the battery can no longer be used and should get recharged. At the same time, a recalibration to the SOH can get made by reevaluating the SOH value by the accumulative DOD at the exhausted state. On the other hand, the used battery may be considered fully charged if (Vb) reaches the upper limit (Vmax), and (Ib) declines to the lower limit (Imin) during charging. A new SOH is obtained by accumulating the sum of the total charge put into the battery and is then equal to SOC. In practice, the fully charged and exhausted states occur occasionally. The accuracy of the SOH evaluation can be improved when the battery is frequently fully charged and discharged.Thanks to the simple calculation and the uncomplicated hardware requirements, the enhanced coulomb counting algorithm can be easily implemented in all portable devices, as well as electric vehicles. Additionally, the estimation error can be reduced to one percent (1%) at the operating cycle next to the reevaluation of the SOH.This article was originally written by Martin Murnane for Mouser and substantially edited by the Wevolver team. It's the fourth article of a 5-part series exploring Energy Storage Systems (ESS). Future articles will explore Communication Solutions for Essential Monitoring of Solar PV and Energy storage, electric vehicles production futures, and battery monitoring systems for lithium-ion solutions.&nbsp;<a href="https://www.wevolver.com/article/higher-reliability-and-longer-lifetimes-with-advanced-battery-management-in-healthcare-energy-storage-systems" rel="noopener noreferrer" target="_blank">Article one</a> outlined the Energy Storage Systems in healthcare applications. &nbsp;<a href="https://www.wevolver.com/article/icoupler-isolated-communication-solutions-for-essential-monitoring-of-solar-pv-and-energy-storage" rel="noopener noreferrer" target="_blank">Article two</a> explained communication systems for energy storage. &nbsp;<a href="https://www.wevolver.com/article/battery-stack-monitor-maximizes-performance-of-li-ion-batteries-in-hybrid-and-electric-vehicles" rel="noopener noreferrer" target="_blank">Article three</a>&nbsp;gave an overview of battery stack monitoring systems for li-on batteries.<a href="https://www.wevolver.com/article/critical-design-considerations-in-estimating-the-state-of-lithium-ion-batteries" rel="noopener noreferrer" target="_blank">Article four</a>&nbsp;provided a deep analysis of the critical design considerations in estimating the state of lithium-ion batteries.<a href="https://www.wevolver.com/article/scaling-electric-vehicle-production-requires-advanced-battery-formation-and-test-systems" rel="noopener noreferrer" target="_blank">Article five</a>&nbsp;looked at solutions for scaling electric vehicle production.&nbsp;<hr><h1>About the sponsor: Mouser</h1><a href="https://eu.mouser.com/" rel="noopener noreferrer" target="_blank">Mouser Electronics</a>&nbsp;is a worldwide leading authorized distributor of semiconductors and electronic components for over 800 industry-leading manufacturers. They specialize in the rapid introduction of new products and technologies for design engineers and buyers. Their extensive product offering includes semiconductors, interconnects, passives, and electromechanical components.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjEzMTUxNjUzMzY1LW1vdXNlciBsb2dvIGZvb3Rlci5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 788px;" class="fr-fic fr-dib">

battery management system (BMS)

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