Browse Topic: Battery cell chemistry

Items (206)
Electrification using battery systems is one of the most relevant solutions regarding ecological challenges within multiple application cases such as mobility, power tools or stationary power supply. Nonetheless besides recent achievements in some cases battery systems are still lacking behind operational requirements compared to conventional propulsion systems, therefore limiting the potential of electrification. Especially when purpose design possibilities are limited. Besides improving properties of cell materials, better usage of the available installation space offers potential for optimization of the battery system. The development of battery systems is complex, as it involves multiple system levels and domains, along with a wide range of design options and architectures. Battery cells that can be manufactured in flexible formats enable possibilities to make more efficient use of available installation spaces. At the same time, these additional degrees of freedom increase design complexity and significantly expand the solution space. For example, numerous options for sizing and positioning of the cells are available that are interacting with the cooling system and housing design. Also, additional challenges regarding electrical and thermal load distribution occur using format flexible cells. To support developers, new methods and tools are necessary to handle this complexity. Therefore, the authors present a methodology that includes an installation space optimization using format-flexibly produced pouch cells that generates different possible layouts of cells and modules, an approach for electrical and thermal modeling of the battery system that is applicable for varying cell arrangements as well as possibilities for a fast criteria-based evaluation of different cell and module arrangements that can be used for an overall optimization of the battery system. Finally, the authors are discussing benefits and disadvantages of the presented methodology as well as the usage of format flexibly produced pouch cells using an illustrative case study.
Müller-Welt, PhilipBause, KatharinaSpohn, HannesAlbers, Albert
Electric Vertical Take-Off and Landing (eVTOL) aircraft are poised to transform urban and regional mobility by offering zero-emission, congestion-free transportation. As regulatory frameworks evolve and advanced air mobility (AAM) gains traction, manufacturers are exploring propulsion strategies that improve range, power delivery, and overall system efficiency. A key challenge in eVTOL development is balancing range with payload capacity. While larger battery packs can extend range, they also increase system weight, reduce payload, and prolong charging times, limiting operational flexibility and turnaround time. Hydrogen fuel cells, supported by liquid hydrogen (LH₂) present a promising alternative for eVTOL propulsion. This study proposes a methodology for optimizing fuel cell propulsion systems tailored to eVTOL applications. A multi-physics modeling framework for eVTOL flight dynamics and propulsion system was developed, representing the target eVTOL configuration. For a defined flight path including vertical takeoff, hover, cruise, and landing, a Genetic Algorithm (GA) based optimization was conducted on propulsion system. The algorithm down-selected battery size, fuel cell stack specifications, and hydrogen tank capacity to meet mission requirements while minimizing propulsion system weight. The modeling framework was also used to evaluate trade-offs between payload and performance as functions of component sizing, battery chemistry and energy distribution strategy.
Garcia, BrunoPaul, SumitZeigler, SophiaFranke, MichaelJoshi, SatyumAraujo, Joao
With the strong momentum of electric vehicles (EVs), the battery recycling industry is undergoing rapid growth. While the Chinese government has implemented a white-list mechanism under which only approved recyclers are allowed to process retired batteries, small-scale illegal battery recycling vendors have posed a serious challenge. This study compares the techno-economic performance of battery recycling between legal and illegal recyclers in China, and makes recommendations to eliminate illegal operations. Our research covers two battery chemistries: lithium nickel-manganese-cobalt oxide (NMC) and lithium iron phosphate (LFP), as well as two technological pathways: resource recycling and cascade utilization. For the general case, the costs of illegal vendors are 35-46% lower than that of legal companies. Although legal companies achieve high resource utilization, their overall economic performance lags behind due to their high costs associated with equipment, environmental protection, taxes, and materials. Such situation can be reversed with changes in economies of scale, tax incentives, and automation in the recycling process. Among different battery types and recycling pathways, the resource recycling of NMC 811 batteries is most likely to achieve a competitive advantage through policy support and economies of scale. In contrast, for the resource recycling of LFP batteries, legal companies are unlikely to surpass illegal vendors across all scenarios. To ensure sustainable development of the battery recycling industry, critical strategies should be comprehensively employed, alongside measures such as raising entry barriers, regulating recycling networks, and strengthening supervision to crack down on illegal vendors.
Du, ShilongLi, HaoyangDou, HaoHao, Han
The increasing adoption of electric vehicles (EVs) introduces critical vulnerabilities associated with dependence on rare earth elements used in traction motors and battery systems, impacting supply chain stability, environmental sustainability, and cost scalability. This investigation focuses on simulation-optimized rare earth-free EV propulsion components, including induction-based and wound rotor electric motors employing ferrite and iron-nitride magnetic materials, in combination with lithium iron phosphate (LFP) battery chemistry recognized for enhanced safety and extended cycle life. An integrated multi-physics simulation framework coupled with targeted experimental validation is employed to evaluate efficiency, thermal behavior, and durability of the proposed motor–battery systems. The optimized configurations demonstrate automotive-grade performance, with motor efficiencies ranging from 90–96% and LFP batteries retaining over 84% of nominal capacity after 5,000 charge–discharge cycles. Simulation predictions exhibit strong correlation with experimental measurements within ±5%, confirming model fidelity. The findings indicate that rare earth-free propulsion systems and LFP batteries can meet EV performance and safety requirements while significantly reducing reliance on critical materials, supporting sustainable EV development.
Saraswat, ShubhamVishe, Prashant
Achieving the stringent EPA CAFE 2032 standards for light-duty full-size trucks and sport-utility vehicles (SUVs) in North American poses significant challenges. While Battery Electric Vehicles (BEVs) offer a clear path to zero tailpipe emissions, their widespread adoption in this segment faces hurdles including range anxiety, payload/towing capabilities, and traditional truck/SUV use cases. This paper investigates a balanced approach, focusing on optimizing propulsion system design with appropriate hardware content, can effectively meet future fuel economy and emissions standards. This investigation examines advanced BEVs and hybrid electric vehicle architectures, including full hybrids (HEVs), and plug-in hybrids (PHEVs) tailored for full-size trucks and SUVs. Considerations include the optimal sizing of internal combustion engines, electric motors, and battery packs to deliver robust performance while maximizing energy efficiency. This paper analyzes the integration of technologies such as electrified transmissions, electric motor configurations, and battery size. Trade-offs between electric motor capabilities, battery pack sizing and emissions reduction across different hybridization levels are investigated. The AMESim Hybrid Optimization Tool (HOT) is used to evaluate multiple propulsion system configurations and drive cycles for energy efficiency. Vehicle selection was performed by evaluating the payload/towing capabilities, propulsion system architecture, and vehicle model year. Drive cycles were selected from truck standards and real-world driving scenarios. The objective is to demonstrate a balanced approach for electrification pathways that satisfy consumer preferences for capability and range, ensuring CAFE 2032 compliance through a diversified powertrain portfolio.
Babcock, DillonRobinette, Darrell
This paper carried out the fire failure analysis of valve-regulated lead-acid battery in communication equipment room. Through disassembly and observation of the battery and iron frame of battery cabinet in the area of fire origin, we obtained the key residual traces and used the physical and chemical analysis methods such as macroscopic/microscopic morphology, EDS, X-ray and metallographic, it was finally judged that the leakage of the battery electrolyte lead to the connection of the battery electrode plate and the iron frame and subsequently the electric heating fault caused the fire accident. Furthermore, we put forward some suggestions according to the existing problems, which may contribute to the prevention of similar failures.
Guo, Yuhang
As the world is moving towards electric vehicles, we are observing a wide use of Lithium-Ion batteries in modern transportation. Lithium-Ion Batteries offer several advantages over conventional battery systems, including higher energy density that is energy stored per unit mass, longer Cycle Life, faster Charging rates, low Self-Discharge, lighter weight, and ease of maintenance as the memory effect present in other batteries is absent. However, despite these advantages, the system faces significant technical challenges arising from inaccurate battery State of Health (SOH) estimation techniques. These inaccuracies can lead to unexpected vehicle failures and a degraded end-user experience, especially due to incorrect “distance to empty” predictions. In this paper, different SOH estimation techniques are reviewed and compared in detail. The SOH estimation approaches are broadly classified into three main categories: Model based estimation techniques, data driven estimation techniques, and fusion technology typically involving the combination of multiple estimation methods). This review highlights the strengths and limitations of each technique, offering a comparative analysis that enables researchers and engineers to select the most suitable approach based on system requirements and application constraints. Additionally, this paper emphasizes the importance of reliable SOH estimation in enhancing the safety, longevity, and overall performance of battery-powered systems, and discusses potential future directions for developing more accurate, adaptive, and real-time SOH estimation frameworks. A robust SOH framework can reduce warranty costs for manufacturers, prevent thermal runaways by timely identifying degradation patterns, and improve user trust in E-vehicle technology.
Patel, ParvezBhagat, Ayush
The global shift to electric vehicles (EVs) is vital for reducing greenhouse gas emissions, but their sustainability hinges on effective battery lifecycle management. This review examines the interplay between Life Cycle Assessment (LCA) and circular economy (CE) principles in EVs, with a focus on both international trends and India-specific challenges. We analyze CE strategies such as extending battery lifespan, second-life applications, and recycling integrated with LCA to evaluate environmental impacts from raw material extraction to disposal. Key areas include battery chemistry, LCA methodologies, policy frameworks, and industrial practices, informed by a synthesis of over 50 peer-reviewed articles, technical papers, and sustainability reports. Challenges include inconsistent LCA baselines, low material recovery in informal recycling, and regulatory gaps, particularly in India. Despite these, innovations like solid-state batteries and advanced recycling techniques offer promise, potentially reducing emissions by 30–40 percent through closed-loop systems. Research gaps remain in areas like the durability of recycled materials, economic viability of CE strategies, and socio-ethical considerations. This review provides a holistic overview, actionable insights, and a roadmap for integrating CE into EV design and policy, especially tailored to India’s evolving automotive ecosystem. By addressing these issues, it aims to guide policymakers, industry stakeholders, and researchers toward a more sustainable, circular future for transportation.
Haregaonkar, Rushikesh SambhajiKumar, OmSankar M, GopiKumar, Rajiv
This paper presents a comprehensive investigation into the mechanisms, risks, and mitigation strategies associated with thermal runaway in lithium-ion batteries used in electric vehicles (EVs). It begins by emphasizing the urgency of the issue, identifying key vulnerabilities within EV battery systems that contribute to runaway events. A multiscale, stage-wise breakdown of thermal runaway progression is provided, illustrating how physical, chemical, and thermal interactions compound during failure scenarios. The study analyzes global incident data from 2000 to 2025, revealing trends in human health impacts, vehicle damage, and public safety concerns. Particular attention is given to how battery aging, manufacturing defects, and external abuse conditions elevate the likelihood and severity of thermal runaway. Current emergency response protocols and state-of-the-art mitigation technologies are critically evaluated to identify best practices and existing gaps in safety management. A hypothesis-driven investigation explores the distinct thermal runaway risks associated with compact battery formats, supported by simulated abuse and accelerated aging validation. The paper concludes by proposing advanced cooling strategies, improved battery chemistries, and safer architectural designs, aligned with evolving industry safety standards. By bridging scientific analysis with practical engineering and regulatory insight, this work offers high-impact, actionable solutions to support the development of safer, more resilient EV battery systems and to accelerate the transition toward sustainable electric mobility.
Jain, GauravPremlal, PPathak, RahulGore, Pandurang
0D, quasi-3D, and 3D chemistry solvers with varying degrees of complexity are developed to predict the thermal runaway propagation in battery cells. The 0D solver assumes the system as homogeneous and closed. The quasi-3D solver assumes the system as homogeneous on the selection level and the 3D solver accounts all spatial inhomogeneities in the temperature and composition. Both the quasi-3D and 3D solvers are fully integrated into a computational fluid dynamic (CFD) solver and capable of predicting thermal runaway in multiple battery cells with cell-specific kinetic reaction model. As the modeling complexity increases with each solver, respectively, the accuracy and the simulation time increases. With the large amount of heat and rapid transitions from the onset of thermal runaway, the CFD solvers usually encounter difficulties in predicting the solution accurately and in extreme heat release cases the solver may diverge. A chemical time scale based adaptive time stepping is developed in this work to address the accuracy, convergence, and stability issues of the CFD solver. The proposed timescale contains in the definition the reaction rate, reaction enthalpy, and total enthalpy content of the system. As the thermal runaway progresses, the CFD solver time step is obtained dynamically from the defined timescale. The developed solvers and the adaptive time-stepping method were quite intensively tested and analyzed by using different reaction mechanisms representing different battery cells and test conditions. The analysis of the timescales and the adaptive time stepping proved quite efficient for solution accuracy, simulation time, and solver stability.
Chittipotula, Thirumalesha
A panel of four battery testing experts from different fields agreed that large scale fire testing, as called for in a proposed update to testing standard UL 9540A, could help address confusion among consumers, battery companies and insurers. Moderated by LaTanya Schwalb, principal engineer for energy and industrial automation at UL Solutions, the panel discussion held at the Battery Show North America underscored the need for a current standard and for standards to adapt more quickly to new battery chemistries and technologies.
Clonts, Chris
The U.S. Army and broader Department of Defense (DoD) require increasingly advanced energy storage solutions to power modern military vehicles and command systems. The adoption of electrified platforms, as well as the demand for silent watch, high-power surges, and wide-temperature operation, is pushing battery technology beyond the capabilities of conventional lead-acid and standard lithium-ion (Li-ion) chemistries. Tyfast has introduced a novel lithium vanadium oxide (LVO) anode that delivers high power, rapid charge capability, exceptional cycle life, and broad operating temperatures – all while using 100% domestically sourced vanadium oxide and lithium feedstock. This paper presents an overview of LVO-based battery technology, its performance characteristics, safety evaluations, and potential applications in military operations. We also highlight how this novel chemistry complements Army modernization goals and provides a path for future hybrid-electric combat and tactical vehicles, as well as other defense applications.
Liu, Haodongla O’, Gerardo JoseLiu, Ping
SAE TOMORROW TODAY - How Battery Chemistry Is Changing the EV Game135308/15/2025
The key to unlocking EV efficiency lies in the chemistry of the battery itself -- and emerging technologies like lithium manganese iron phosphate (LMFP) and lithium iron phosphate (LFP) tackling range anxiety head-on. Leading the way is Integrals Power, a UK-based company pushing the boundaries of battery innovation by engineering cells that offer up to 20% more range compared to conventional chemistries. LMFP serves as a drop-in replacement, making it easier for manufacturers to adopt while maintaining safety and extending battery life. By improving cathode chemistry -- where up to 30% of battery pack costs lie -- the company is positioning itself as a leader in scalable, cost-effective solutions for EV makers. To learn more, we sat down with Behnam Hormozi, CEO and Founder, to discuss how Integrals Power's approach to battery design is boosting EV range, cutting costs, and transforming the UK into a global battery powerhouse. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen--and give us a review on your preferred podcasting platform. Follow SAE on LinkedIn, Instagram, Facebook, Twitter, and YouTube. Follow host Grayson Brulte on LinkedIn, Twitter, and Instagram.
Patterson, Lori
Conventional solid polymer electrolyte batteries perform poorly due to structural limitations that hinder an optimal electrode contact. This could not eliminate the issue of “dendrites”, where lithium grows in tree-like structures during repeated charging and discharging cycles. Dendrites are a critical issue, as an irregular lithium growth can disrupt battery connections, potentially causing fires and explosions.
With current and future regulations continuing to drive reductions in carbon dioxide equivalent (CO2e) emissions in the on-road industry, the off-road industry is also likely to be regulated for fuel and CO2e savings. This work focuses on converting a heavy-duty off-road material handler from a conventional diesel powertrain to a plug-in series hybrid, achieving a 49% fuel reduction and 29% CO2e reduction via simulation. Control strategies were refined for energy savings, including a regenerative braking strategy to increase regenerative braking and a load-following hydraulic strategy to decrease electrical energy consumption. The load-following hydraulic control shuts off the hydraulic electric machine when it is not needed—an approach not previously seen in a load-sensing, pressure-compensated system. These strategies achieved a 24.1% fuel savings, resulting in total savings of 61% in fuel and 41% in CO2e in the plug-in series compared to the conventional machine. Beyond control strategies, this study evaluated battery chemistry and charging strategy refinements for total cost of ownership (TCO) and lifetime CO2e. LFP batteries emerged as the most cost-effective and least emitting due to their longer lifespan, which reduced replacement frequency. Charging comparisons showed that Level 2 charging (L2C) typically resulted in lower TCO but higher lifetime CO2e than DC fast charging (DCFC). DCFC costs were heavily influenced by local demand charges, and DCFC emissions were heavily influenced by local grid emissions.
Goodenough, BryantCzarnecki, AlexanderRobinette, DarrellWorm, JeremySubert, DavidKiefer, DylanHeath, MatthewBrunet, BobKisul, RobertLatendresse, PhilWestman, JohnBlack, Andrew
Due to energy competition and scarcity of natural gas resources in recent years, fossil fuels have been significantly replaced by renewable energy sources. Because of this, battery electric vehicles (EVs) and hybrid electric vehicles (HEVs) are getting adopted instead of internal combustion engine (ICE) vehicles. The main component of electric vehicles and hybrid vehicles is the battery management system (BMS), which is necessary to ensure that the battery pack operates efficiently, reliably, and effectively. The battery should not degrade its performance by charging and discharging too much, which can lead to serious failures if the battery is left to its end of life. This paper aims to present a novel Machine learning-based battery health estimation algorithm by mitigating risks associated with real-time battery data. This study used proprietary data collected from nickel-cobalt-aluminum (NCA) chemistry battery cells in electric vehicles. Machine learning models are trained to estimate the battery pack's state of health (SoH) using ensemble learning algorithms. With this method, we can achieve maximum error margin of 7.8% for real time battery data, indicating high accuracy.
Joshi, UmitaMandhana, Abhishek
The world is moving towards a green transportation system. Governments are also pushing for green mobility, especially electric vehicles. Electric vehicles are becoming more popular in Europe, China, India, and developing countries. In EVs, the customer's range anxiety and the perceived real-world range are major challenges for the OEMs. The OEMs are moving towards a higher power-to-weight ratio. Energy density plays a crucial role in the battery pack architecture to increase the vehicle range. Higher capacity battery packs are needed to improve the vehicle's range. The battery pack architecture is vital in defining the gravimetric and volumetric energy densities. The cell-to-pack battery technique aims to achieve a higher power-to-weight ratio by eliminating unnecessary weight in the battery architecture. The design of battery architecture depends on the cell features such as the cell shape & size, cell terminal positions, vent valve position, battery housing strength requirements, etc. This work analyzed different LFP cell-to-pack architectures based on the production-ready battery cells to achieve optimized cost, vehicle range, structural rigidity, and safety to meet economic & sporty vehicle requirements.
K, Barathi Raja
The internal short circuit of a traction battery is one of the most typical failure mechanisms that can lead to thermal runaway, potentially triggering thermal propagation across the entire battery system. This phenomenon poses significant safety risks, especially in electric vehicles and large-scale energy storage systems. Therefore, it is essential to explore and understand the internal short circuit behavior to mitigate these risks. One of the most effective testing methods for reproducing an internal short circuit is the penetration test, where specific test conditions must be carefully designed based on the failure behavior. Among these conditions, the penetration step length plays a crucial role, as it directly influences the short circuit dynamics. Despite the importance of penetration step length, there is currently no standardized test procedure that dictates how to select the appropriate step size for different battery samples. This gap in standardization complicates the ability to replicate internal short circuit behavior consistently across various battery chemistries and configurations. In this study, penetration tests were conducted using a thin nail with varying step lengths to better understand the impact of these parameters on the electrical and thermal responses during failure. The analysis of the evolution of electrical and thermal parameters under different conditions provides valuable data for developing a universal test procedure. Such a procedure would facilitate the accurate simulation of internal short circuits, ultimately improving battery safety by helping engineers design more resilient battery systems and establishing benchmarks for industry-wide testing standards.
Wang, FangSun, ZhipengMa, TianyiDai, XiaoqianDai, CeYan, PengfeiMa, XiaoleChen, LiduoMa, HaishuoShen, Shaopeng
The cost of electric vehicles (EVs) is significantly influenced by lithium-ion batteries, which typically account for about 40% of the total price, primarily due to the critical minerals content. Notably, minerals for cathode production are prone to scarcity and market price fluctuations. Moreover, the extraction of these minerals through mining activities poses substantial environmental challenges, including carbon emissions and resource depletion. In response to these concerns, recycling emerges as strategic to ensure the sustainability of electrification and secure the mineral supply chain. This paper presents findings from a study on recycling EV batteries using hydrometallurgical processes, encompassing the resynthesis of cathode materials utilizing recycled resources. The hydrometallurgical method exhibited an extraction efficiency surpassing 90%, with no direct CO2 emissions. Validation of the resynthesis phase involved the fabrication of cells with resynthesized cathodes, demonstrating performance comparable to batteries sourced from new minerals and resilience to typical stressors encountered in EV applications. This study reinforces that recycled materials can play a role to mitigate the need for extra mining activities for batteries with no performance concern.
Obara, Rafael BrisollaErthal, LeopoldoSouza, Cleiton OliveiraRoggerio, LeonardoFreitas, Heverson RenanLima, Ana Luiza LorenzenBassani, Jean Carlos
In recent years, Lithium Iron Phosphate (LFP) has become a popular choice for Li-ion battery (LIB) chemistry in Electric Vehicles (EVs) and energy storage systems (ESS) due to its safety, long lifecycle, absence of cobalt and nickel, and reliance on common raw materials, which mitigates supply chain challenges. State-of-charge (SoC) is a crucial parameter for optimal and safe battery operation. With advancements in battery technology, there is an increasing need to develop and refine existing estimation techniques for accurately determining critical battery parameters like SoC. LFP batteries' flat voltage characteristics over a wide SoC range challenge traditional SoC estimation algorithms, leading to less accurate estimations. To address these challenges, this study proposes EKF and PF-based SoC estimation algorithms for LFP batteries. A second-order RC Equivalent Circuit Model (ECM) was used as the dynamic battery model, with model parameters varying as a function of SoC and accounting for temperature variations. The Hybrid Pulse Power Characterization (HPPC) test was performed at 15°C, 25°C, 35°C, and 45°C, and model parameters were obtained using the Nelder-Mead simplex algorithm. Simulations were conducted on MATLAB Simulink and validated using the Worldwide Harmonized Light Vehicle Test Procedure (WLTP) and Modified Indian Drive Cycle (MIDC). The proposed methods were evaluated for Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and computation time. Results showed that PF outperformed EKF by 40% regarding RMSE for WLTP and MIDC profiles. However, EKF computations were 90% faster than PF. The study concludes that EKF and PF can effectively be utilized for SoC estimation of LFP batteries, providing valuable insights for future Battery Management Systems (BMSs).
Ns, Farhan Ahamed HameedJha, KaushalShankar Ram, C S
The life and safety of a battery are closely linked to temperature. Designing an effective thermal management system relies on a thorough understanding and analysis of the thermal properties and mechanisms of the battery. Over time, as batteries are used, their thermal characteristics change due to variations in internal SEI thickness, the deterioration of the active material structure, gas production, and electrolyte consumption, all of which are associated with the aging process. In this paper, experiments on both NCM and LFP batteries were made to measure the heat generation characteristics by adiabatic calorimeter. The results showed that the impact of calendar aging on battery heat generation exhibited completely different patterns for the lithium-ion batteries of the two material systems mentioned above. This paper provides guidance for the optimization of heat generation characteristics of battery and the calibration of heat source in the design of battery thermal management system for electric aircraft.
Li, HaibinZhao, HongweiLiu, DinghongHu, Qiaosheng
Rapid advancement of electric vehicle (EV) technology has propelled the need for reliable and efficient methods of battery data. This has vital importance – to ensure safety aspects and efficient design of EV system. Traditional data collection methods for battery characterization is a large subject for the design of experiments and is often expert’s skill intensive, time-consuming, and do not allow scalability. This study proposes an approach which bases on Generative Artificial Intelligence (GenAI) for two activities. First, to assist the DOE in characterizing cell/batteries at different C-rates and temperatures considering different degradation rates. Second, for manipulation of characterization data taking into account measurement and data recording errors. The study compares GenAI models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based (Time-GPT) models in generating and validating EV battery characterization data. This is not a complete replacement for battery testing, as batteries must physically undergo cyclic aging and other tests. The paper explores ability of different GenAI models to accurately capture critical electro-chemical and thermal features. This enables better planning of next characterization experiments and assist in eliminating boundary and intermediate scenarios for cell characterization experiments by generating synthetic data from GenAI models. The model so tuned for cell characteristics can also be extended as data manipulator to re-establish battery characterization data generated from testing experiments, considering sensor issues, data logging issues, data transportation and synchronization issues, etc. The robustness of these models in handling diverse, heterogeneous, and asynchronous datasets sourced from different EV manufacturers, battery chemistries, and specifications are scrutinized. The performance of the models is compared across multiple attributes like execution times, computing resource requirements, accuracy and consistency of generated data, and volume of data required to optimize the models. This study contributes to improve the modelling, simulation, and optimization of EV batteries and enable rapid development of data-driven products specifically for battery health analysis.
Sing, SandipPawar, RushikeshHivarkar, Umesh N.
While Daimler Truck and Paccar are pursuing LFP battery cells, Volvo Trucks employs lithium-ion batteries in which lithium nickel cobalt aluminum oxide (NCA) is used as the cathode — for now anyway. The Swedish truck maker is continuously exploring other battery technologies.
Many research centers and companies in general aviation have been devoting efforts to the electrification of propulsive plants to reduce environmental impact and/or increase safety. Even if the final goal is the total elimination of fossil fuels, the limitations of today's battery in terms of energy and power densities suggest the adoption of hybrid-electric solutions. These systems combine the advantages of conventional and electric propulsive systems, namely reduced fuel consumption, high peak power, and increased safety deriving from redundancy. Today, lithium-ion batteries are the best commercial option for the electrification of all means of transportation. However, lithium batteries are a family of technologies that presents a variety of specifications in terms of gravimetric and volumetric energy density, discharge and charge currents, safety, and cost. This work presents a series/parallel hybrid electric powertrain derived from automotive applications (Honda i-MMD) tailored to ultralight aircraft and discusses the sizing of the battery, which is performed based on a normal operation mission and an electric backup operation after engine failure. The normal operation mission is assumed to be performed under different hybridization modes (series, parallel, and all-electric). In this investigation, seven lithium battery chemistries are compared, quantitatively (in terms of mass and volume required to satisfy the proposed missions and hybridization modes) and, qualitatively (contrasting lifespan and runaway temperature). The results of the investigation prove the importance of including the tradeoff between power density and energy density in the sizing of the battery. From this point of view Nickel-Manganese-Cobalt chemistry, thanks to an energy density of 230Wh/kg and a maximum discharge current of 10C presents the best results. The investigation considers also the combination of the hybridization modes used for the sizing to develop an energy management strategy that allows a compromise between fuel economy and reliability to be obtained.
Donateo, TeresaSpada Chiodo, Ludovica
While Daimler Truck, Paccar and Accelera by Cummins are pursuing lithium iron phosphate (LFP) battery cells with technology partner EVE Energy (www.sae.org/news/2023/09/lfp-battery-cell-production-for-electric-commercial-vehicles), Volvo Trucks employs lithium-ion batteries in which lithium nickel cobalt aluminum oxide (NCA) is used as the cathode - for now anyway. The Swedish truck maker is continuously exploring other battery technologies. “If you look back at least three years, maybe five years, LFP was not really on the map. There has come some new evolvement on LFP which would make it better in many ways, [improved] things that were problematic with it before. It might very well be a solution in the future,” Peter Granqvist, senior vice president of Volvo Group Electromobility Technology, said at a media event at the company's headquarters in Gothenburg, Sweden, in late 2023. “Right now, we are not on that path, but I'm not excluding anything.” Granqvist said it's possible multiple chemistries will prevail, based on the benefits being prioritized and the needs of the specific vehicle application.
Gehm, Ryan
There is an urgent need to decarbonize various industry sectors, including transportation; however, this is difficult to achieve when relying solely on today’s lithium-ion (Li-ion) battery technology. A lack of sufficient supply of critical materials—including lithium, nickel, and cobalt—is a major driving force behind the research, development, and commercialization of new battery chemistries that can support this energy transition. Many emerging chemistries do not face the same supply, safety, and often durability challenges associated with Li-ion technology, yet these solutions are still very immature and require significant development effort to be commercialized. This chapter identifies and evaluates various emerging battery chemistries suitable for deployment in the automotive industry and describes the advantages, disadvantages, and development challenges for each identified technology. Additionally, the chapter outlines development timelines, contending that, to benefit from these new technologies in a decade or so, commercialization needs to begin today. That includes de-risking critical material supply chains and developing circular approaches. Finally, the chapter proposes policy interventions to enable the development of these new solutions and to allow those immature technologies to compete with well-established Li-ion batteries.
Kolodziejczyk, BartKozumplik, Brian
This study addresses safety concerns within the rapidly evolving Electric Vertical Takeoff and Landing (eVTOL) aircraft domain, focusing on efficient tools to quantify uncertainties in lithium-ion battery behavior - a critical aspect of eVTOL. One major issue with quantifying uncertainty is the prohibitive computational cost associated with many queries of an expensive-to-evaluate computational model. This work employs three physics-based battery models models of varying fidelity and cost to estimate the mean and the variance of the selected quantities of interest through a multifidelity method to reduce the computation cost. By combining information from multiple cheaper, lower-fidelity models through the Multifidelity Monte Carlo method, we significantly reduce the number of high-fidelity samples required for a prescribed mean-squared error, consequently reducing computational costs down to a tractable level. The proposed methodology is applied to estimate the mean and the variance of the battery temperature and voltage, accounting for uncertainties in flight conditions and materials. The first example focuses on a 580-second flight and is benchmarked against a standard Monte Carlo sampling technique. Results indicate a notable fourfold speed-up using the Multifidelity Monte Carlo method compared to the standard Monte Carlo method for the same mean-squared error for the voltage estimate. To showcase the method's generality, the multifidelity method is then applied to a longer flight of 3580 seconds for estimating the mean and the variance and utilizing these statistics to approximately estimate the probability of the flight completion. This demonstrates the adaptability of the methodology to various power profiles and considered uncertainties, with potential extensions to any battery chemistry. In conclusion, the presented multifidelity method offers a robust approach to enhance eVTOL safety by efficiently estimating uncertainties in battery behavior.
Diaz Flores Caminero, AlvaroKim, H. AliciaChaudhuri, AnirbanGuibert, Alexandre
As companies continue to trumpet their next-gen EV battery tech, it seems like new chemistries face more momentum from the established champ, lithium-ion. There's no shortage of alternatives to lithium-ion EV batteries in development. From lithium-iron phosphate to sodium-ion to multiple solid-state chemistries, companies are racing to perfect these technologies and figure out how to manufacture them at scale. But to an outside observer, it can feel like breathless coverage of future battery technology is much ado about not much. Lithium-ion batteries seem to have all the momentum, seeing as they're the power supply of choice for most EV manufacturers. And if there's anything that's true in the automotive industry, it's how hard it is to buck momentum. Here are just a few of the big issues lithium-ion batteries have in their favor: Already built factories that manufacture batteries and face tremendous costs to retool for a different technology. An economy of scale that has driven down the cost per kilowatthour from $732 in 2013 to $139 in 2023. The vehicle development curve can be seven or more years before hitting production. That means betting on a technology and a mining and manufacturing ecosystem that hasn't been fully tested. Some companies are slowing EV launches and reconsidering investment in new technologies given the recent slowdown in the growth of EV sales.
Clonts, Chris
Lithium-ion batteries are the ubiquitous energy storage device of choice in portable electronics and more recently, in electric vehicles. However, there are numerous lithium-ion battery chemistries and in particular, several cathode materials that have been commercialized over the last two decades. In recent time several automakers have followed trend by announcing their own plans to move their EV production to LFP, due to its high intrinsic safety, fast charging, and long cycle life and cobalt free batteries as well as avoiding other supply chain constrained metals like nickel. Accurate estimation of the state-of-charge (SOC) is crucial for efficient and safe battery applications. However, existing SOC estimation methods (coulomb count, SOC-OCV methods) fail to provide accurate SOC estimation for LFP batteries that have a flat voltage-SOC relationship, and these present model-based methods can be ascribed to their inability to simultaneously accommodate the differences in voltage characteristics between different open-circuit-voltage (OCV) ranges. To address this limitation, offline three RC equivalent circuit model is used to identify OCV and other battery model parameters. Then, the parameters of the extended Kalman filter are adaptively estimated according to the innovation residual error and updated in different OCV ranges, which are distinguished based on the identified OCV. While conventional methods fail to converge, the proposed method ensures both high accuracy and stability, with a maximum absolute error of < 3%. The viability of the proposed method is further verified using data collected from real battery systems.
Sandrabyna, MallikarjunaPatil, Akshata
Controlling thermal dissipation by operating components in car batteries requires a heat management design that is of utmost importance. As a proactive cooling method, the usage of PCM (Phase Change Materials) to regulate battery module temperature is suggested. Even at lower flow rates, liquid cooling has a heat transfer coefficient that is 1.5–3 times better. The rate of global cell production has increased today from 4,000 to 100,000 cells per day. Future-proof Li (metal) battery chemistry with a 3x increase in energy density. Ineffective thermal management of the battery is the root of the issue. In order to optimise battery modules, it is important to identify likely failure modes and causes. The medium used to carry heat from the battery over its passage duration at various operating temperatures is a variety of phase-change materials. The latent heat is significant, and many vegetable fats derived from fatty acids are more effective than salt hydrates and paraffin. Melting temperatures range between -30 and 150 degrees Celsius. As a result of optimisation, the root mean square temperature between batteries was reduced by 13.3% when compared to the primary battery temperature control system. In our work, we describe techniques for enhancing temperature uniformity and cooling in a simple pack battery. Four distinct battery pack combinations are in the works. In the first concept, an intake plenum is added to a standard battery pack. In the second design, jet inlets are integrated with the inlet plenum, and multiple vortex generators are included with the inlet plenum in the third configuration. Finally, the battery pack in the fourth iteration contains an intake plenum, jet inlets, and many vortex generators. The results reveal that integrating an intake plenum, several vortex generators, and jet inlets in the same design yielded significant improvements. According to the findings, the maximum temperature of the battery pack is reduced by 5%, and the temperature differential between the greatest and lowest temperatures recorded by the battery pack is reduced by 21.5 percent.
Deepan Kumar, SadhasivamR, Vishnu Ramesh KumarDinesh Kumar, DevadossManojkumar, RA, TamilselvanM, BoopathiC, Lokesh
This paper proposes a novel reconfigurable battery balancing topology and reinforcement learning-based intelligent balancing management system. The different degradations cause a significant loss of battery pack available capacity, as the pack power output relies on the weakest cell due to the relevant physical requirements. To handle this capacity drop issue, a reconfigurable battery topology is adopted to improve the usability of the heterogeneous battery. There are some existing battery reconfigurable topologies in the literature. However, these studies rely on the limited options of topology designs, and there is a lack of study on the reconfigurability of these designs and other possible new designs. Also, it is rare to find an optimal management system for the reconfigurable battery topology. To fill these research gaps, this paper explores existing battery reconfigurable topology designs and proposes a new reconfigurable topology for battery balancing. Besides, the battery reconfigurability problem is modeled as an optimization problem, and the balancing time and total power output are modeled as objective functions. Then, a reinforcement learning-based intelligent management system is proposed to identify the best battery topology for minimizing equalization time and battery degradation for heterogeneously degraded batteries. The simulation results show that the proposed method can effectively balance the inhomogeneous battery cell and alleviate battery degradation.
Ye, YimingZhang, Jiangfeng
There's a mild irony in a battery company called ONE that believes the way to increase electric vehicle adoption actually relies on two. Two battery chemistries in one pack, that is, according to ONE founder and CEO Mujeeb Ijaz. We spoke with Ijaz about ONE's dual-chemistry pack in early 2022, but the company recently shared more details on how it plans to make EVs with a 600-mile range feasible in the coming years. Our Next Energy is working on two new battery types (the Aries and Gemini series), both of which start with a lithium iron phosphate (LFP) chemistry. The whiz-bang, 600-mile (966-km), dual-chemistry Gemini pack isn't due to go into production until 2025 or 2026, but ONE is currently testing its Aries II pack. The Aries II is a structural cell-to-pack singlechemistry battery based on the Aries I battery now available for class 3-6 commercial trucks, buses and utilities or in the Aries Grid energy storage system. ONE is working with partners Bollinger Motors, Motiv and the Shyft Group on the Aries I battery for commercial trucks. ONE also claims that the Aries II can offer up to 350 miles (563 km) of range in a passenger car without needing pricey nickel or cobalt.
Blanco, Sebastian
Mid-September of 2023 brought a United Auto Workers (UAW) strike against each of the Detroit Three automakers. Apart from the face-value issues of a strike, the UAW's extraordinary choice to hit all three automakers - at an unusually unsettled inflection point in the industry's technology progression - may have generational implications. By some accounts, there are more than a few untied shoelaces tangling the industry's march toward electrification. The cost of EVs (their batteries, specifically) is emerging as a persistent impediment to mainstream adoption in the U.S. and Europe. The situation is magnified by post-pandemic inflation that's pressuring consumers and hiking the cost of EV-related materials; battery prices aren't declining and manufacturers and battery developers are scrambling for options - less-expensive but lower-performing lithium-iron phosphate battery chemistry is emerging as one immediate alternative.
Visnic, Bill
NMC and LFP lithium-ion batteries find favor in different regions as OEMs move to electrify larger excavators and loaders. 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 (>6 tonne), 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.
Jeffs, James
Many owners of electric vehicles worry about how effective their battery will be in very cold weather. Now a new battery chemistry may have solved that problem.
One of the solutions for reducing greenhouse gas emissions in the transport sector is the electrification of mobility. The technology currently most widely used by car manufacturers is the Li-ion battery (LiB). Unfortunately, Li-ion batteries can suffer dramatic events with catastrophic consequences known as thermal runaway (TR). TR has many possible causes: excessive temperature, mechanical deformation, electrical overcharge, internal short circuit. Typically, TR causes violent combustion that is difficult or impossible to control, with the emission of potentially toxic gases and particles. TR is a major problem for manufacturers and can have serious consequences for users. Understanding TR is a key safety issue. This paper presents a new methodology to characterize the thermal runaway of Li-ion battery cells, combining gas analysis, thermodynamic measurements and high-speed imaging. The protocol was applied to characterize two commercial battery cell types with different positive electrode chemistries (NCA and NMC). For each battery cell type, the measurements were performed at different states of charge (SOC). The protocol used allowed the identification of several parameters characterizing the TR event, such as the temperature at which Venting and TR occur or the pressure peak following the TR event. The analysis of the high-speed movies also provided insights into the combustion initiation and its evolution. As expected, the results showed that the thermal runaway for both chemistries is significantly influenced by the SOC. These parameters provided a coherent and robust description of the event, while also providing valuable data for the validation of numerical models.
Richardet, Lucasde Persis, StéphanieBardi, MicheleLecompte, MatthieuBrocchetto, Vincent
The majority of powertrain types considered important contributors to achieving the CO2 targets in the transportation sector employ a battery as an energy storage device. The need for batteries is hence expected to grow drastically with increasing market share of CO2-optimized powertrain concepts. The resulting huge pressure on the development of future electrochemical energy storage systems necessitates the application of advanced methodologies enabling a fast and cost-efficient concept definition and optimization process. This paper presents a model-based methodology for the optimization of BEV thermal management concept layouts and operation strategies targeting minimized energy consumption. Starting at the vehicle level, the proposed methodology combines appropriate representations of all primary powertrain components with 1D cooling and refrigerant circuit models and focuses on their interaction with the battery chemistry. To this end, the battery cells are thermally modeled in 3D, complemented by a P2D electro-physicochemical approach. Thanks to online coupling the cell representation with the 1D powertrain and thermal management models, heat transfer and cell temperatures can be calculated as a function of the boundary conditions at each simulation step. The model-based methodology is subsequently employed for the optimization of a novel Twin Battery concept combining sodium-ion and solid-state lithium-ion battery cells. The approach enables the cost-efficient adaption of both thermal management layout and operation strategy, resulting in reduced energy input and shorter time required for reaching operation temperature of the solid-state cells. Ultimately, a minimization of the overall powertrain energy consumption can be achieved while ensuring chemistry-specific optimal temperature levels and hence reduced battery aging.
Fandakov, AlexanderTourlonias, PaulHerzog, AlexanderÖzkan, EmreMehnert, Ronny KurtSens, Marc
Vehicle electrification is one of the most important emerging trends in the transportation sector and a necessary step towards the reduction of polluting substances and greenhouse gas (GHG) emissions. However, electric vehicles still present some environmental criticalities, such as indirect emissions related to the electricity used for charging the traction battery, which depends on the considered national electricity generation mix. The leading approach for quantifying the potential environmental impacts is the Life Cycle Assessment (LCA), a standardized methodology that takes into account the whole life cycle of a product, including production, use phase, and end-of-life. Among them, the use phase is the most controversial and heterogenic part of the battery LCA, being environmental impacts depending on different national electricity generation mixes and several factors difficult to estimate, such as charge-discharge power losses that provide significant contributions to the overall environmental impacts of the battery system. The purpose of this research is to conduct an LCA to investigate the Global Warming Potential (GWP) impact category associated with the use phase of two battery packs based on different NMC batteries but equivalent total capacity, equipping the same powertrain of an A-segment battery electric vehicle (BEV). The overall GWP ranges between 45.4 and 47 gCO2eq/km and total power losses between 2.5 and 3.19 gCO2eq/km, respectively. Finally, the M50LT battery model results in a greater GWP impact up to 3.5% than the 40T battery type.
Silvestri, LucaDe Santis, MicheleFalcucci, GiacomoSerao, PaolaBella, Gino
ABSTRACT Low charge times are very desirable for battery electric vehicles. Lithium Nickel Cobalt Aluminum (NCA) chemistry is used in vehicles like the Tesla Model S for their energy density and also used in several consumer applications. Investigators used state of art NCA cells to conduct research into the tradeoffs between charge time, life and safety. Eight different charge profiles were compared. These included the standard CC-CV strategy and the state of the art Tesla Model S profile. Impact of temperature is also embedded in the selection of charge profiles. A non-dimensional charge metric is proposed as a composite of the impacts of charge time, effective charge stored, aging, overcharge sensitivity and lithium plating sensitivity. This metric is computed for all tested charge profiles and the best candidates are identified. Citation: Bapiraju Surampudi PhD, Ian Smith, Terry Alger PhD, “Some Insights in Fast Charge Methods for NCA Cells,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Surampudi, BapirajuSmith, IanAlger, Terry
ABSTRACT Cornerstone Research Group (CRG) developed a lithium metal (Li-metal) battery cell for military applications. Utilizing a Li-metal anode, high energy density cathode, and an advanced low-temperature fluorinated electrolyte, the cell was designed and developed to provide high-power and low temperature capabilities. The 1.5 Ah Li-metal pouch cell had a specific energy of 247 Wh/kg and was able to discharge at ultra-low temperatures (-57 °C). Moreover, the Li-metal cell demonstrated extremely high-power by fully discharging at 10 C while maintaining over 70% its initial capacity. To demonstrate the Li-metal cell’s utility for military vehicle use, CRG modeled the cell into the 6T battery platform. A novel module housing was designed to evenly apply compression to the Li-metal cells to improve cell performance. Based on these projections, the Li-metal 6T battery could have a capacity of 163 Ah with a specific energy of 179 Wh/kg. Citation: J. Hondred, F. Zalar, P. Nikolaev, B. Henslee, “High Power Li-Metal Battery Cell for Military Applications,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.
Hondred, JohnZalar, FrankNikolaev, PashaHenslee, Brian
As the industry quickly shifts its focus from ICE to BEVs, there is a prime opportunity to rethink the basics of the vehicle/propulsion development, manufacturing, procurement and the customer-facing go-to market strategy. OEMs and suppliers are using the electrification shift to evaluate all aspects of their enterprises. As the ICE propulsion system dominated our industry structure for the past 120 years, we became accustomed to a slow-but-steady speed of ICE technology change and innovations. As virtually every traditional OEM - and scores of startups - focus on electrified propulsion, the speed of innovation and required flexibility will be a blur compared to the last couple of decades. It will be standard practice for all entities to use this transition as a level-setting event - to essentially rethink the enterprise. As such, industry players will need to innovate at a swifter pace and need to adopt partnerships to fill gaps and defray risk, while ensuring any investment has flexibility at its core.
By the end of 2023 there will be 10 Chinese electric passenger vehicles using advanced semi-solid-state batteries (ASSB) - an industry-first application for EVs and a milestone for vehicle electrification, according to Paul Haelterman, North American VP at Autodatas, a vehicle benchmarking and research firm. It's “a huge step for the industry's production pursuit of all-solid-state batteries,” Haelterman told SAE Media ahead of his presentation on China's EV market at SAE's WCX 2023 conference in Detroit. A semi-solid-state battery can be one in which one electrode does not contain a liquid electrolyte and the other electrode does. Or it can be a battery in which the mass or volume of the solid electrolyte in the monomer accounts for half of the total mass or volume of the electrolyte in the monomer. Some battery experts view semi-solid-state as a compromise technology, offering a faster route to scale, but is heavy and requires more volume.
Buchholz, Kami
There is an urgent need to decarbonize various industry sectors, including transportation; however, this is difficult to achieve when relying solely on today’s lithium-ion (Li-ion) battery technology. A lack of sufficient supply of critical materials—including lithium, nickel, and cobalt—is a major driving force behind research, development, and commercialization of new battery chemistries that can support this energy transition. Many emerging chemistries do not face the same supply, safety, and often durability challenges associated with Li-ion technology, yet these solutions are still very immature and require significant development effort to be commercialized. Emerging Automotive Battery Chemistries: Hedging Market identifies and evaluates various chemistries suitable for deployment in the automotive industry and describes advantages, disadvantages, and development challenges for each identified technology. Additionally, it outlines development timelines, contending that, to benefit from these new technologies in a decade or so, commercialization needs to begin today (e.g., de-risking critical material supply chains, developing circular approaches). The report also proposes policy interventions to enable developments of these new chemistries and to allow those immature technologies to compete with well-established Li-ion batteries. Click here to access the full SAE EDGETM Research Report portfolio.
Kolodziejczyk, Bart
Overcharging lithium-ion batteries is a failure mode that is observed if the battery management system (BMS) or battery charger fails to stop the charging process as intended. Overcharging can easily lead to thermal runaway in a battery. In this paper, nickel manganese cobalt (NMC) battery modules from the Chevrolet Bolt, lithium manganese oxide (LMO) battery modules from the Chevrolet Volt, and lithium iron phosphate (LFP) battery modules from a hybrid transit bus were overcharged. The battery abuse and emissions tests were designed to intentionally drive the three different battery chemistries into thermal runaway while measuring battery temperatures, battery voltages, gaseous emissions, and feedback from volatile organic compound (VOC) sensors. Overcharging a battery can cause lithium plating and other exothermic reactions that will lead to thermal runaway. During the testing, VOC sensors were used to determine what, if any, amount of forewarning they may provide in the event the battery enters thermal runaway. Additionally, three different fire suppressant agents were also used to judge whether one is more effective than the other in extinguishing the battery fires. The fire suppressants were engaged sixty seconds after thermal runaway was detected, and their effectiveness was judged by visually evaluating whether the fire was extinguished and remained extinguished. Data is analyzed to extract comparisons in peak thermal runaway temperatures, the amount of forewarning the battery may provide preceding thermal runaway as measured by the pre-thermal runaway temperatures and VOC sensors, and other qualitative metrics observed during the testing. The emissions collected during the overcharge testing are summarized for all the three chemistries and various suppressants.
Surampudi, BapirajuJones, KevinBanks, Zachary
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