Browse Topic: Lithium-ion batteries

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Comprehensive Insights on Techniques for Managing and Preventing Thermal Runaway in EV Lithium-Ion Batteries.2026-26-0171To be published on 01/16/2026
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
Jain, Gaurav, PREMLAL, P, Pathak, Rahul, Gore, Pandurang
State of Health Estimation in Lithium-Ion Batteries: Methods, Comparisons, and Future Directions2026-26-0208To be published on 01/16/2026
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 . Of course, challenges remain, e.g. accurate battery State of Health (SOH) estimation which stays as an indispensable parameter for safety and useability. Inaccurate SOH estimation can lead to unexpected vehicle behavior and a degraded end-user experience, especially due to incorrect "distance to empty" predictions. Also, different battery chemistries present various challenges, creating need of tailored models. In this paper, different SOH estimation techniques are reviewed and compared in detail . The SOH estimation approaches are broadly classified
Patel, Parvez, Bhagat, Ayush
Lithium-ion Battery’s State of Health Prediction: A Deep Learning Framework2026-26-0162To be published on 01/16/2026
The growing adoption of electric vehicles (EVs) has increased the need for reliable and efficient battery health monitoring systems. Lithium-ion batteries, widely used in EVs, undergo performance degradation over time, making the prediction of their health status a crucial task for ensuring safety, longevity, and operational efficiency. Traditional model-based approaches often face challenges due to their reliance on complex physical models and sensitivity to varying operational conditions. To overcome these limitations, data-driven methods are increasingly preferred for predictive maintenance. In this study, a data-driven framework is proposed for estimating the State of Health (SoH) of lithium-ion batteries. The framework is developed using data collected from multiple battery cells under diverse operating scenarios. Key steps such as data preprocessing, feature engineering, and model development are carried out to build robust machine learning and deep learning models. A focus is
Suryawanshi, Chaitanya Balasaheb, Nangare, Kapilraj, Gaikwad, Pooja
Optimization and Evaluation of Thermal Interface Material Thickness and Distribution Patterns for Improved Heat Transfer in Liquid-Cooled Battery Pack2026-26-0432To be published on 01/16/2026
Battery Thermal Management Systems (BTMS) play a critical role in ensuring the longevity, safety, and efficient operation of lithium-ion battery packs. These systems are designed to effectively dissipate the heat generated by the cells during vehicle operation, thereby maintaining a uniform temperature distribution across the battery modules, preventing overheating and mitigating the risk of thermal runaway. However, one of the primary challenges in BTMS design lies in achieving effective thermal contact between the battery cells and the cooling plate. Non-uniform or excessive application of Thermal Interface Materials (TIMs) without ensuring robustness and uniformity can increase interfacial thermal resistance, leading to significant temperature variations across the battery modules, which may trigger power limitations via the Battery Management System (BMS) and these thermal gradients can cause inefficient cooling, ultimately affecting battery performance and lifespan. In this study
K, Mathankumar, Jahagirdar, Manasi, Kumbhar, Makarand Shivaji
State of Health correction based on dynamic cell behaviour in EVs.2026-26-0183To be published on 01/16/2026
In electric vehicle (EV) applications, accurate estimation of State of Health (SOH) of lithium-ion battery packs is critical for ensuring performance reliability, operational safety and user confidence. SOH is a key parameter monitored by Battery Management System (BMS) to assess the remaining usable life of the battery and to make informed decisions regarding charging, discharging, power delivery, and maintenance scheduling. In traditional SOH estimation techniques often rely on simplistic full-cycle charge-discharge data or single-parameter tracking (such as voltage or internal resistance and other method like coulomb counting and kalman filter ), which do not account for variable field conditions such as partial and full state-of-charge usage condition, dynamic load profiles, and non-uniform aging. As a result, these methods can produce significant deviations in SOH prediction, potentially causing premature system-level shutdowns, inaccurate range estimation, and delayed detection
Nikam, Ashish, Tiwari, Awanish Shankar, Sodha, Nirav, Hariyani, Ganesh, Ambhore, Yogesh Gajanan
Integrated Simulation of Electric Vehicle Model Using the ROM Approach2026-26-0369To be published on 01/16/2026
The growing demand for Electric Vehicles (EVs) has highlighted the importance of efficient and accurate simulation tools for design and performance optimization. The architecture of electric vehicles is distinct from that of internal combustion engine vehicles. It consists of on-board charger, DC-DC converter, Lithium ion battery pack, Inverter, electric motor, controllers and transmission. The battery pack supplies electric current to the traction motor, which then converts this electrical energy into mechanical energy, resulting in the rotational motion needed to drive the vehicle. Wide range of Multiphysics is involved in the simulation which involves Power electronics, Electromagnetics, Fluid Mechanics, Thermal engineering. This paper presents an integrated simulation and range prediction methodology for Electric Vehicles (EVs) using the Reduced Order Model (ROM) approach. The methodology includes simulation in both 3D and 1D domain. Computational fluid dynamics (CFD) simulation is
Shandilya, Anand, Kumar, Vivek
Simulation Based Approach to Optimize Electric Vehicle Battery Thermal System2026-26-0376To be published on 01/16/2026
The performance and longevity of Li-ion batteries in electric vehicles are significantly influenced by the cell temperature. Hence, efficient thermal management techniques are essential for battery packs. Simulation based optimization approaches can enhance these techniques during early product development and life cycle. In this work, a method to optimize the battery thermal system comprising of cooling plate and external insulation is described. The first part is to optimize the cell heat extraction by the cooling plate. The heat transfer coefficient of the coolant is a parameter which can indicate the thermal efficiency of a cooling plate. At the same time, it's important to keep the coolant pressure drop within a reasonable limit. A 1D simulation methodology is described to optimize the cooling channel height based on pressure drop and heat transfer coefficient targets. This methodology is based on empirical correlations and multi-objective pareto optimization. The advantage of
U, Reghunath, P S, Shebin
Coupled Thermo-Mechanical Simulation Framework for Structural Evaluation of Battery Pack2026-26-0414To be published on 01/16/2026
With the rapid adoption of electric vehicles (EVs), ensuring the structural integrity and thermal safety of lithium-ion battery pack has become a critical priority. Battery failures resulting from mechanical abuse, thermal stress, internal pressure build up or electrical faults may lead to structural failure. To address these challenges, it is essential to understand the coupled thermal and mechanical responses of battery structure under extreme conditions. Thermo-mechanical simulation serves as a powerful tool for predictive safety assessment and design optimization, particularly in addressing thermal propagation and pressure-induced failure events. This study presents a comprehensive coupled thermo-mechanical simulation framework designed to evaluate the structural performance of EV battery enclosures under worst-case thermal and overpressure conditions. The methodology involves high-fidelity three-dimensional modeling of the battery pack enclosure, incorporating realistic material
BHAT, SADASHIV C, Sugumar, Mohanraj
Comparative Assessment of Lithium-Ion Battery Recycling Strategies: Unveiling Challenges, Optimizing Benefits, and Exploring Future Potential.2026-26-0201To be published on 01/16/2026
This research paper offers a comprehensive evaluation of lithium-ion battery recycling methods, tracing the entire journey from global demand to the practical challenges and solutions for sustainable battery recycling. It starts with the analysis of worldwide LIB demand growth alongside the exponential growth in volumes of spent batteries and recycling rates. The study focuses on the imbalance in production and recovery of critical battery components and its environmental and economic effects. The paper then systematically examines six major recycling methodologies: mechanical, pyrometallurgical, hydrometallurgical, biotechnological, direct, and ion-exchange recycling. It goes into detail about their advantages, limitations, and roles in maximizing the recovery of valuable metals such as lithium, cobalt, and nickel. Traditional techniques like hydrometallurgical and pyrometallurgical methods, and emerging approaches including bioleaching and ion-exchange, are evaluated for their
Jain, Gaurav, PREMLAL, P, Pathak, Rahul, Gore, Pandurang
Transforming Battery Management: The Role of Artificial Intelligence and Machine Learning in Digital Twin Technologies2026-26-0382To be published on 01/16/2026
The traditional Battery Management System (BMS) faces certain limitations in fully utilizing battery capacity and performance during the long cycle life operation of Electric Vehicles (EVs). These constraints include limited real-time data collection, low processing speed, lack of predictive maintenance, and very limited accuracy in predicting health and degradation chemistry. A Battery Digital Twin (BDT) can effectively address these limitations of the BMS. Battery Digital Twins (BDT) can be viewed as a cyber-physical system comprising four key elements: virtual representation, bidirectional connection, simulation, and connection across the life cycle phases of an EV battery. The performance of a Li-ion battery largely depends on the cathode chemistry, component design, and operating conditions. The battery should be manufactured in a manner (such as cylindrical or prismatic cell) that prevents explosion, leakage, and gas generation inside the battery. To enhance the performance and
Chaturvedi, Vikash, M, Venkatesan, Lanke, Siddhi, Subramaniam, Anand, Karle, Manish, Pandit, Rugved, Gupta, Drishti, Karle, Ujjwala Shailesh
Analysis of Second-Life electric vehicle batteries value maximizing through repurposing and resale, ways to achieve optimal performance and standardization challenges for testing and certification2026-26-0193To be published on 01/16/2026
As electric vehicle (EV) adoption accelerates globally, a growing volume of lithium-ion batteries are reaching end-of-life in their primary automotive application—despite retaining 60 to 80% of their original capacity. This presents a significant opportunity to extend battery utility through second-life applications such as stationary energy storage, microgrid support, and commercial backup systems. This paper analyzes the strategies for maximizing the residual value of second-life EV batteries through repurposing and resale, while also addressing the challenges associated with performance optimization and standardization of testing and certification procedures. The study evaluates the techno-economic viability of second-life batteries compared to new systems, emphasizing cost savings, environmental impact, and emerging market demand. Techniques for enhancing second-life performance are examined, including advanced state-of-health (SoH) diagnostics, machine learning models for usage
Agarwal, Pranjal, Penta, Amar
Electrode-Level Modeling of Thermal Decomposition Reactions as a Foundation for Multiscale Thermal Runaway Analysis in Lithium-Ion Batteries2025-01-0523To be published on 11/25/2025
Thermal runaway in lithium-ion batteries represents a critical safety challenge, particularly in high-voltage battery systems used in electric vehicles and stationary energy storage. A comprehensive understanding of the multi-scale processes that initiate and propagate thermal runaway is essential for the development of effective safety measures and design strategies. This study provides a structured theoretical overview of the thermal runaway phenomenon across four hierarchical levels: electrode, single cell, module, and high-voltage battery system. At the electrode level, thermal runaway initiation is linked to electrochemical and chemical degradation mechanisms such as solid electrolyte interphase decomposition, separator breakdown, and internal short circuits. These processes lead to highly exothermic reactions that, at the cell scale, can result in rapid temperature increases, gas generation, and overpressure. On the module and system levels, thermal runaway can propagate through
Ceylan, Deniz, Kulzer, André Casal, Winterholler, Nina, Weinmann, Johannes, Schiek, Werner
Power Electronics: The Backbone of Sustainable Electrification2025-28-022811/06/2025
Power electronics are fundamental to sustainable electrification, enhancing energy, efficiency, integrating renewable energy sources, and reducing carbon emissions. In electric vehicles (EVs), power electronics is crucial for efficient energy conversion, management, and distribution. Key components like inverters, rectifiers, and DC-DC converters optimize power from renewable sources to meet EV system requirements. In EVs, power electronics convert energy from the lithium-ion battery to the electric vehicle motor, with sufficient propulsion and regenerative braking. Inverters is used to transfer DC power from the lithium-ion eEV battery to alternating current for the motor, while DC-DC converters manage voltage levels for various vehicle systems. These components maximize EV energy efficiency, reduce energy losses, and extend driving range. Power electronics also support fast and efficient battery charging, critical for widespread EV adoption. Advanced charging solutions enable rapid
Pipaliya, Akash Pravinbhai, Hatkar, Chetan
Development of a Fuel Cell System for Small Mobility Applications with Severe Load Fluctuations2025-32-003811/03/2025
In recent years, small electric mobility powered by fuel cells have been proposed as a way to achieve a carbon neutral society. One reason for the proposal is that fuel cells have an advantage over battery electric vehicle (BEV) in traveling range and refueling time. This study develops a hybrid system combining a fuel cell and a lithium-ion capacitor (LiC) for small electric mobility applications with severe load fluctuations. The proposed system achieves a 53% reduction in size, a 50% reduction in weight, and a 23% improvement in acceleration performance compared to a configuration using a lithium-ion battery (LiB) as the secondary battery, while also reducing load fluctuations in the fuel cell. Although LiCs tend to be compact, lightweight, and capable of high output, they have limited discharge capacity. To address this, a prototype hybrid system combining a fuel cell and an LiB was initially constructed to verify the system’s ability to suppress load fluctuations through current
Suzuki, Masaya, Nakata, Nobuhiro
Investigation on Flow Pattern Architecture Design on Thermal Plate for Battery Electric Vehicles2025-28-040610/30/2025
Liquid cooling systems are a widely used method for cooling lithium-ion batteries in modern electric vehicles. Battery thermal plate (BTP) is a key component of the liquid-cooled thermal management system, which regulates battery temperature to prevent thermal runaway and fire accidents. Designing an energy efficient flow pattern with uniform velocity and temperature distribution is a major challenge for the BTP. In this paper, the effect of flow patterns in cooling performance of the BTP is examined. Battery temperature can be efficiently controlled by varying direction, number of flow channels and structure of the BTP. Complex flow pattern networks are modeled and compared based on the computational fluid dynamics results. The channel flow resistance, pressure drop, and temperature distribution are key parameters which are evaluated for varying mass flow rate conditions. From this study, the flow pattern which satisfies the temperature requirement and has 10% less pumping power
K, Muthukrishnan, S, Saikrishna, K, Keshavbalaje, Gutte, Ashish
Graphene Based Solar Photonic Battery for Aircraft-A Finite Element Based 2D Analysis2025-28-038910/30/2025
Over the past decade, significant progress in nano science and nanotechnology has opened new avenues for the development of high-performance photovoltaic cells. At present, a variety of nanostructure-based designs—comprising metals, polymers, and semiconductors—are being explored for photovoltaic applications. Advancements in the understanding of optical and electrical mechanisms governing photovoltaic conversion have been supported by theoretical analyses and modeling studies. Nevertheless, the high fabrication cost and relatively low efficiency of conventional solar photovoltaic cells remain major barriers to their large-scale deployment. One-dimensional (1D) nano materials, in particular, have introduced promising prospects for enhancing photovoltaic performance owing to their unique structural and electronic characteristics. Nanowires, nano rods, and nanotubes exemplify such 1D nanostructures, offering substantial potential to improve photon absorption, electron transport, and
P, Geetha, Sudarmani, R, c, Venkataramanan, Satyam, Satyam, Nagarajan, Sudarson
Numerical Investigation of Novel Hybrid Battery Thermal Management System Integrating Angular Fins for Lithium-Ion Batteries2025-28-035110/30/2025
To address the thermal management challenges in lithium-ion batteries-which are associated with safety, real-world driving, and operating cycles, particularly at high discharge rates and in extreme ambient conditions-it is essential to maintain the battery temperature within its optimal range. This work introduces a novel hybrid Battery Thermal Management System (BTMS) that integrating a Phase Change Material (PCM) and air cooling with fins attached to air-channel in PCM side. Unlike conventional approaches that use standard rectangular fins, this study employs angular fins with varying dimensions to enhance heat dissipation. The hybrid system is designed to leverage the high latent heat storage capability of the PCM while ensuring efficient convective heat removal through air cooling. The airflow through the cooling channel accelerates heat dissipation from the PCM, thereby increasing its effectiveness. The angular fins are strategically positioned within the PCM section to enhance
Kalvankar, Tejas, Lam, Prasanth Anand Kumar, Aruri, Pranushaa
Evaluation on Battery Thermal Management through Liquid Cooling Plate Geometric Parameter Design for Electric Vehicles2025-28-037710/30/2025
Lithium-ion batteries are the most preferable power source for electric vehicles due to their high energy density compared to other battery types. However, the life cycle, battery capacity, and safe operation are significantly influenced by the operating temperatures of the batteries. In general, most of the battery thermal management systems employ battery cooling plates to maintain the required battery temperature. However, there are significant problems in battery cooling such as coolant temperature difference, non-uniform velocity distribution, coolant pressure drop and power consumption, which are influenced by cooling plate channel geometric parameters. In this study, different combinations of critical parameters such as channel width, channel height and dimple diameter of battery cooling plates are modelled. Simulations are made using Computational Fluid Dynamics (CFD). From the results, pressure drop, temperature rise and power consumption are analyzed to identify the dominant
K, Muthukrishnan, K, Keshavbalaje, Gutte, Ashish, N, Aswin
Method for Rapid Prediction of Electric Vehicle Battery Temperature for the Early Design Phase2025-01-041910/07/2025
Thermal management of electric vehicle (EV) battery systems is critical for ensuring optimal performance, user safety, and battery longevity. Existing high-fidelity simulation methods provide detailed thermal profiles, but their computational intensity makes them inefficient for early design iterations or real-time assessments. This paper introduces a streamlined, physics-based one-dimensional transient thermal model coded in MATLAB for efficiently predicting battery temperature behavior under various driving cycles. The model integrates vehicle dynamics to estimate power demands, calculates battery current output and heat generation from electrochemical principles, and determines the battery temperature profile through a 1D conduction model connected to a thermal resistance network boundary condition that incorporates the effect of coolant heat capacity. The model achieved prediction errors below 1% when compared to analytical solutions for conditions of no heat generation and steady
Builes, Isabel, Medina, Mario, Bachman, John Christopher
The Role of EV Charging Infrastructure in Shaping Energy Pricing and Consumer Behavior – Case Study in Saudi Arabia2025-01-042110/07/2025
As the electric vehicle (EV) industry grows rapidly in Saudi Arabia, driven by the development of companies such as CEER, Lucid, and Tesla, there is an increasing need to evaluate and adapt electricity tariff structures to address changing demand patterns. This study explores the interaction between EV charging infrastructure, electricity pricing strategies, and consumer behavior, aiming to provide insights that support the sustainable expansion of the electric mobility ecosystem in the Kingdom. The methodology incorporates demand-supply analysis, energy consumption forecasting, and comparative assessments of tariff models implemented in other countries, with Saudi Arabia serving as a case study aligned with Vision 2030 objectives. Although EV adoption is expected to increase electricity demand, the Kingdom’s generation capacity, which reached 453 TWh in 2023 and is projected to exceed future consumption, ensures a stable and sufficient supply. Currently, public EV charging services
AlJuhani, Haneen Radi A, Bedywi, Lama Mohammed A, AbdulNour, Bashar
Role of Charging Rate on Internal Short-Circuit Characteristics of Lithium-Ion Battery14-14-03-002010/07/2025
Lithium-ion batteries used in electric vehicles (EVs) are facing issues owing to internal short-circuit (ISC), leading to thermal runaway. In this study, a pseudo-two-dimensional (P2D) model is employed to numerically investigate the effects of charging rate (C-rate) and separator electrical conductivity on the ISC behavior of a lithium-ion cell. The results reveal that as C-rate increases, both the voltage and capacity decrease more rapidly marked by higher solid potential gradient indicating increased internal resistance. These effects further intensified at higher separator conductivity, which facilitates greater ISC current and accelerates cell degradation. Also, the variations in current density and solid-phase lithium concentration become more pronounced at higher C-rates, particularly near the anode–separator interface, indicating increased non-uniformity during ISC conditions. Furthermore, the electrolyte voltage drop intensifies with rising C-rate, contributing to additional
Ch, Narendra Babu, Paramane, Ashish, Randive, Pitambar
Lithium and Lithium-Ion Cell and Battery Containment Performance Recommended PracticeJ3303_202510 (Current)10/02/2025
Prescribe test conditions to quantify the effectiveness of containment devices for containing thermal runaway hazards of lithium/lithium-ion cells, batteries, and equipment during storage resulting from the failure of a cell within the container. Due to the many storage locations (indoors, outdoors, etc.), the hazards shall be classified individually to allow for varying performance based on a given storage location.
Battery Transportation and Storage Committee
Development and Parameterization of a Physics-Based Ageing Model for Li-Ion Battery Cells2025-24-014009/07/2025
Although significant progress has been made on developing electrochemical models of Li-ion batteries performance, there is a significant gap in predictive, physics-based modelling of the degradation mechanisms. In this work, we perform a systematic experimental and modelling study to explore the potential of predictive battery ageing models. A commercial NMC pouch cell is initially characterized in detail using tear-down analysis, electrical and electrothermal tests to obtain electrochemical model parameters and validate its fidelity in a large range of operating conditions in terms of temperature, state-of-charge and load. The cell is then exposed to accelerated ageing operating conditions and its performance is monitored regularly to obtain its degradation rate in terms of capacity and resistance. The aged cell is also characterized by tear-down and optical techniques. The experimentally obtained test database is used to develop and validate the mathematical models that describe the
Koltsakis, Grigorios, Spyridopoulos, Spyridon, Chatziioannou, Panteleimon, Tentzos, Michail
Practical Mixed Parameter Obtention Framework for Li-Ion Battery Electrochemical and Degradation Models Based on Parameter Classification and Physical Measurement2025-24-014109/07/2025
Prediction of EV performance through lifetime is a crucial task. However, accurate prediction of states of LIBs remains a challenge due to the complexity of detailed electrochemical models, absence of a single universally accepted approach for the identification of model parameters and limitations in invasive and non-invasive parameter obtention methods. Classification and estimation of the most relevant parameters under different steps will enhance the identifiability of parameters in P2D models operating under various conditions. On the other hand, reliable estimation of the internal state of batteries can be drawn with proper integration of material parameters into the battery model. In this study, a systematic classification framework of parameter obtention was proposed through multi-steps for P2D electrochemical and degradation models. Furthermore, a practical mixed approach is developed for parameter obtention of P2D models with optimization-based calibration methodology and
Mehranfar, Sadegh, Mahmoudzadeh Andwari, Amin, Garcia, Antonio, Micó, Carlos, Elkourchi, Imad, Bekaert, Emilie, Herran, Alvaro, Konno, Juho
Evaluating Safety Behavior of Li-Ion Batteries Regarding Negative Electrode Composition2025-24-014909/07/2025
Li-ion battery performance is highly dependent on the electrode materials. The composition of the negative and positive electrodes influences crucial aspects of the Li-ion cell, including energy density, ageing behavior and thermal stability. Recent Li-ion technologies include the use of composite graphite-silicon negative electrodes to improve the energy storage capacity of the otherwise graphite-only negative electrode. This article evaluates the impact of negative electrode composition (standard graphite vs. Si-Gr) on the performance of two recent technologies of Li-ion batteries from the same manufacturer, focusing on electrical performance and safety behavior. The studied technologies are the LG M50LT and LG M58T, the latest one introducing a considerable increase of capacity, passing from 4.80 to 5.65 in nominal capacity. This article abords the comparison of both technologies in electric performance, electrode composition, cell design and thermal stability. Electrical
Cruz Rodriguez, Jesus Armando, Lecompte, Matthieu, Redondo-Iglesias, Eduardo, Pelissier, Serge, Abada, Sara
A 0D/1D Methodology for Estimating Critical Parameters in Thermal Runaway Tests of Lithium-Ion Batteries in Closed Volumes2025-24-015009/07/2025
The ongoing shift toward electrification, particularly in the transport and energy sectors, has intensified the deployment of lithium-ion batteries (LIBs). While LIBs offer high energy density and efficiency, their increasing use also brings significant safety challenges—most critically, the risk of thermal runaway (TR) in confined environments. This study presents a fast and structured zero-dimensional/one-dimensional (0D/1D) methodology for estimating key parameters associated with TR events in sealed volumes. The model integrates empirical correlations, energy-based mass estimation approaches, and simplified combustion simulations to assess pressure and temperature rise during TR. Experimental vented mass and gas composition data—obtained through sealed canister testing—serve as the basis for the simulation inputs. A numerical procedure combining mixing dynamics and adiabatic combustion is used to predict critical outcomes such as maximum overpressure and peak temperature
Garcia, Antonio, Micó, Carlos, Marco-Gimeno, Javier, Gómez-Soriano, Alejandro
Active Temperature Control Strategies with Liquid Cooling Thermal Management System for Li-Ion Batteries2025-24-014809/07/2025
Nowadays, electric vehicles (EVs) are considered one of the most promising solutions for reducing pollutant emissions related to the road transportation sector. Although these vehicles have achieved a high level of reliability, various challenges about Li-ion storage systems and their thermal management systems remain unresolved. This work proposes a numerical and experimental study of a lithium-ion storage cell with a scaled battery thermal management system (BTMS). In particular, a channel plate for liquid cooling is specifically designed and manufactured for the cell under test. The BTMS is based on the development of an indirect liquid cooling system with optimal control of the coolant flow rate to fulfill the thermal requirements of the system. A lumped parameters approach is used to simulate the electro-thermal behavior of the system and to analyze the effects of real-time control strategies on the temperature of the cell under test. An ad-hoc experimental test rig is set up for
Capasso, Clemente, Castiglione, Teresa, Perrone, Diego, Sequino, Luigi
An Investigation of Battery Module Thermal Behavior Based on CFD Simulations and Experimental Tests2025-24-014409/07/2025
Battery management systems are among the key components in electric vehicles (EVs), which are increasingly replacing internal combustion engine (ICE) vehicles in the automotive industry. Battery management systems mainly focus on battery thermal management, efficiency, battery life and the safety conditions. Generally, lithium-ion batteries have been chosen in EV cars. Therefore, the internal resistance of Li-ion batteries plays a crucial role in the thermal behavior of the energy storage system. Most of the published studies rely on 0D-1D models to analyses single cell thermal behavior depending on the internal resistance at different ambient temperatures and charging/ discharging rates, and on the cooling system. However, these models, though fast, cannot provide detailed information about the temperature distribution within a cell or a module. Full 3D Computational Fluid Dynamics (CFD)- Conjugate Heat Transfer (CHT) simulations on the other hand, are very time consuming and require
Karaca, Cem, Olmeda, Pablo, Margot, Xandra, Postrioti, Lucio, Baldinelli, Giorgio
A Comprehensive Electro-Thermal and Fluid-Dynamic Model for Liquid-Cooled Lithium-Ion Cells: Development and Experimental Validation2025-24-014509/07/2025
The temperature evolution of lithium-ion cells under operation has a significant impact on their performance, efficiency, and aging. Modeling the thermal status of lithium-ion cells is crucial to predict and prevent undesired working conditions or even failures. In this context, this paper presents a mathematical model to predict the transient temperature distributions of a lithium-ion polymer battery (LiPo) cooled by forced convection via a specially designed channel plate for liquid cooling. For the battery modeling, Newman’s pseudo-2D approach was used to perform a computational fluid dynamics (CFD) analysis. It assumes that the porous electrode is made of equally sized, isotropic, homogeneous spherical particles, which results in smooth, uniform intercalation/de-intercalation of lithium inside the electrode. Also, the channel plate geometry and the cooling liquid fluid-dynamic behavior were simulated with a commercial code based on the finite volume method. The model has been set
Ferrari, Cristian, Magri, Luca, Sequino, Luigi
When Electric Vehicles Sleep: Investigating Lithium-Ion Battery Pack Precooling in Extreme Temperature Conditions2025-24-014609/07/2025
Effective thermal management is essential for optimizing the performance and longevity of lithium-ion battery packs, particularly in electric vehicles facing extreme temperature conditions. This study investigates the performance of an indirect liquid cooling system used for pre-cooling stationary electric vehicle battery packs, focusing on scenarios such as vehicle sleep mode in high-temperature conditions. The cooling system, which utilizes a water-glycol mixture flowing at 1.2 L/min, was tested on a battery pack consisting of 36 prismatic battery cells in a thermally isolated chamber, subjected to initial temperatures of 50.0°C, 60.0°C, and 69.5°C. To assess the thermal behavior, 25 thermocouples were strategically positioned on the battery surface, and inlet coolant temperature was monitored via an additional thermocouple. An exponential cooling response was observed across all temperature cases, with maximum temperature difference between the hottest and coldest cells reaching 7.6
Darvish, Hossein, Carlucci, Antonio Paolo, Ficarella, Antonio, Laforgia, Domenico
SAE TOMORROW TODAY - How Battery Chemistry Is Changing the EV Game1353008/15/2025
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
Patterson, Lori
Experimental Investigation of Factors Influencing Thermal Runaway in Lithium-Ion Battery Cells2025-01-030607/02/2025
Experimental testing in automotive development sometimes relies on ad hoc approaches like ‘One Factor at a Time’, particularly in time- and resource-limited situations. While widely used, these approaches are limited in their ability to systematically capture parameter interactions and system complexities, which poses significant challenges in safety-critical applications like high-voltage battery systems. This study systematically investigates the factors influencing thermal runaway in lithium-ion battery cells using a statistical full-factorial experimental design. Key parameters, including state of charge, cell capacity and heating trigger power, have been analyzed under controlled conditions with an autoclave setup, enabling precise measurement of thermal and mechanical responses. The use of automotive-grade lithium-ion cells ensures relevance for next-generation applications. By employing factorial regression and statistical analysis, the study identifies critical temperatures
Ceylan, Deniz, Kulzer, André Casal, Winterholler, Nina, Weinmann, Johannes, Schiek, Werner
Design and Analysis of a Battery Thermal Management System for Fast Charging in Extreme Hot Condition2025-01-032207/02/2025
Fast charging of lithium-ion batteries presents significant thermal management challenges, due to the high demanding conditions of high C-rates, particularly at extreme ambient temperatures. This study explores the thermal behavior of a cylindrical lithium-ion cell during fast-charging scenarios designed to achieve a full charge in 15 minutes or less (SOC: 0%–100%), across a wide range of ambient temperatures. The analysis covers a broad spectrum of ambient temperatures, from 303 K to 333 K, addressing real-world operational challenges faced by electric vehicles and energy storage systems. A validated thermal model, calibrated with experimental data on the open circuit voltage (OCV) and internal resistance of the cell across varying conditions, is employed to accurately predict the temperature distribution of the cell at different states of charge (SOC). The model also includes scenarios involving high initial cell temperatures to assess their effect on thermal performance during fast
Jahanpanah, Jalal, Mahmoudzadeh Andwari, Amin, Babaie, Meisam, Konno, Juho, Akbarzadeh, Mohsen
Anode-Free Solid-State Batteries: Beyond Li-ion’s LimitationsTBMG-5322806/01/2025
From laptops to electric vehicles, Li-ion batteries power everyday life. However, as demand for longer-lasting devices threatens to outstrip the energy that Li-ion supplies, researchers are on the hunt for more powerful batteries.
Immersion Cooling for Lithium-Ion Batteries at High Discharging Rates14-14-02-001205/29/2025
The high-performance electric sports cars market is expected to register rapid development in the next years, driven by a different attitude of racing enthusiasts toward electric vehicles. The improvements in battery technology are reinforcing consumer confidence and interest in electric sports vehicles, making them more attractive to enthusiasts and accelerating their adoption. Batteries have been used in high heat generation conditions more often with fast charging and discharging. Therefore, the need for more advanced battery thermal management systems (BTMS) has been increasing in recent years. Vegetable oil, owing to its unique availability and biodegradability, is considered as a viable alternative to fossil fuel-based cooling fluids in immersion cooling systems. In the present work, the feasibility of using vegetable oil in immersion cooling under high discharge conditions is studied by comparing it with four types of fossil fuel-based cooling fluids. Immersion cooling was
Hong, Hanchi, Song, Xiang, Shi, Xu, d’Apolito, Luigi, Xin, Qianfan
Research on NVH Performance of Pulse Heating System of One Vehicle2025-01-007805/05/2025
When the ambient temperature is too low, the performance of the lithium-ion battery will deteriorate, and the car will have the problems of difficult charging, fast power consumption, and even difficult to start, so the battery needs to be heated before use to provide a comfortable working environment for the lithium-ion. The high-frequency pulse heating system can quickly and evenly raise the temperature of the battery, but there is noise during operation, which affects the NVH performance of the vehicle itself, and its noise comfort needs to be further optimized. Firstly, the high-frequency pulse heating system is discussed in detail, and the parameters affecting the NVH performance are explored. Secondly, NVH tests and subjective and objective evaluations were carried out based on different system parameters, relevant data were collected to establish a model, the influence degree of each parameter was demonstrated, and the best parameter combination was determined. Finally, the
Yun, Zhao, Shouhui, Huang, Hu, Zhongxun, Hui, Hui, Zhou, Changshui, Teng, Charlie
Enhancing Laser Cut Quality of Copper Thin Foils for Lithium-Ion Batteries through Pre-Cooling and Teaching–Learning–Based Optimization05-19-01-000404/28/2025
The efficiency and performance of lithium-ion batteries are highly influenced by the quality of laser cutting of electrode materials. The laser cut quality of thin foils is often measured by amount of kerf width and heat-affected zone (HAZ). This article adopts a novel approach that involves pre-cooling of thin copper foils prior to the laser cutting process. The impact of laser conditions and foil temperature were analyzed on HAZ and kerf width induced during laser cutting experiments conducted based on L27 orthogonal array. Teaching–learning–based optimization (TLBO) technique was employed to identify the optimal laser parameters. ANOVA results indicated that the temperature was the most significant factor influencing kerf width and HAZ. The optimized laser parameters identified through TLBO technique were 16 W laser power, 69.47 mm/s scanning speed, and 20 kHz pulse frequency at dry ice conditions. A reduction of 50.76% kerf width and a decrease in 7.6% HAZ were observed when the
Rao, Akshay P., Bharatish, A., Solaiachari, Sivakumar, Kumar, S. Mahendra
Assessing Lithium-ion Battery Functionality Post-Thermal Management with Water Mist2024-32-012204/18/2025
The danger of lithium-ion batteries in electric vehicles (EVs) is intensified when they are used at inappropriate temperatures, leading to self-heating and eventually contributing to thermal runaway. Nevertheless, there is uncertainty through the safety of reusing batteries after they have been exposed to heat damage and water mist from fire extinguishers. To address these concerns, this study aimed to experimentally investigate the impact of temperature on batteries and introduce a thermal management using a water mist. Subjecting a battery to a temperature of 100°C for a duration of 39 minutes can immediately detect inoperability from a sudden drop in voltage. The use of water mist was proposed to rapidly mitigate the heat production inside the battery. The state of health (SOH) and the impedance were employed to confirm the battery’s functionality after exposure to thermal abuse and water spraying. The SOH of fresh cells was measured as a reference line for comparison to tested
Trinuruk, Piyatida, Patthathum, Pathomporn, Jumnongjit, Apiwit
Experiment Characterization and Simulation Analysis of a Lithium-Ion Battery in Different Ambient Conditions2025-01-502804/15/2025
A great number of performances of an electric vehicle such as driving range, powering performance, and the like are affected by its configured batteries. Having a good grasp of the electrical and thermal behavior of the battery before the detailed design stage is indispensable. This paper introduces an experiment characterization method of a lithium-ion battery with a coolant system from cell level to pack level in different ambient conditions. Corresponding cell and pack simulation models established in AMESim that aimed to capture the electrical and thermal features of the battery were also illustrated, respectively. First, the capacity test and hybrid pulse power characterization (HPPC) test were conducted in a thermotank to acquire basic data about the battery cell. Next, based on acquired data, first-order equivalent circuit model (1C-ECM) was built for the battery cell and further combined with environmental boundary conditions to check the simulation accuracy. Then, hybrid
Zhou, Shuai, Liu, Huaiju, Yu, Huili, Yan, Xu, Yan, Junjie
Learning-Based Energy Management Strategy of Fuel Cell City Buses Considering Power Source Degradation02-18-02-001204/02/2025
Fuel cell vehicles (FCVs) offer a promising solution for achieving environmentally friendly transportation and improving fuel economy. The energy management strategy (EMS), as a critical technology for FCVs, faces significant challenges of achieving a balanced coordination among the fuel economy, power battery life, and durability of fuel cell across diverse environments. To address these challenges, a learning-based EMS for fuel cell city buses considering power source degradation is proposed. First, a fuel cell degradation model and a power battery aging model from the literature are presented. Then, based on the deep Q-network (DQN), four factors are incorporated into the reward function, including comprehensive hydrogen consumption, fuel cell performance degradation, power battery life degradation, and battery state of charge deviation. The simulation results show that compared to the dynamic programming–based EMS (DP-EMS), the proposed EMS improves the fuel cell durability while
Song, Dafeng, Yan, Jinxing, Zeng, Xiaohua, Zhang, Yunhe
A Framework for Modeling Mechanically Induced Thermal Runaway in Lithium-Ion Batteries2025-01-813404/01/2025
Battery safety is a paramount concern in the development of electric vehicles (EVs), as failures can lead to catastrophic consequences, including fires and explosions. With the rapid global adoption of EVs, understanding how battery cells perform under extreme conditions such as mechanical or thermal abuse is crucial for ensuring vehicle safety. This study investigates the abuse response of lithium-ion batteries under high-speed mechanical loading. Our research systematically examines the response of these cells at different states of charge (SOC) through controlled dynamic tests. These tests offer insights into the failure response of the cells. By analyzing the data, we gain a deeper understanding of the conditions that could trigger thermal runaway under mechanical abuse loadings, representative of EV crashes, a critical safety concern in EV battery systems. The experimental setup and methodologies are presented in this paper, alongside key findings that highlight the importance of
Patanwala, Huzefa, Kong, Kevin, Challa, Vidyu, Darvish, Kurosh, Sahraei, Elham
Prediction of Health Status and Remaining Life of Lithium Batteries Based on Deep Learning2025-01-812604/01/2025
Rechargeable lithium batteries are widely used in the electric vehicle industry due to their long lifespan and high energy density. However, after long-term repeated charging and discharging, various electrochemical reactions inside lithium batteries can lead to performance degradation and even cause battery fires. Estimating the health status and predicting the remaining life of lithium batteries can provide insights into their future operating conditions, which is crucial for achieving fault warnings and ensuring the safe operation of battery-related equipment. In terms of predicting the health status of lithium batteries, this paper proposes a method based on an improved Long Short-Term Memory (LSTM) for health status estimation. This method first employs nearest neighbor component analysis to eliminate feature redundancy among the multidimensional health factors of the battery. Then, a differential grey wolf optimization algorithm (DEGWO) is used to globally optimize the
K, Meng Zi
A Thermal Behaviour of Battery Cell Using Different Electrochemical Models (ECM and NTGK)2025-01-814004/01/2025
In this study, we examine the thermal behaviours of lithium-ion battery cells using two widely employed electro-chemistry models: the Equivalent Circuit Model (ECM) and the Newman-Tiedemann-Gauthier-Kim (NTGK) model. Given the critical importance of temperature regulation for the efficiency and lifespan of lithium-ion batteries, this research aims to identify the numerical method that best predicts cell thermal behaviour under constant discharge conditions with 2C, 1C and 0.5C rate. By comparing the outputs of the ECM and NTGK models, we assess their accuracy in predicting key parameters such as State-of-Charge (SoC), current output, voltage, temperature and heat generation. The findings offer valuable insights into the effectiveness of each model in simulating the thermal dynamics of battery cells, providing a basis for optimizing battery performance and longevity in real-world applications.
Wakale, Anil, Ma, Shihu, Hu, Xiao
Multiscale Modeling and Validation of Thermal Runaway Propagation in Immersion-Cooled Battery Systems with Full-Scale Application2025-01-816604/01/2025
Thermal management is a key challenge in the design and operation of lithium-ion batteries (LIBs), particularly in high-stress conditions that may lead to thermal runaway (TR). Immersion cooling technology provides a promising solution by offering uniform cooling across all battery cells, reducing the risk of hotspots and thermal gradients that can trigger TR. However, accurately modeling the thermal behavior of such systems, especially under the complex conditions of immersion cooling, presents significant challenges. This study introduces a comprehensive multiscale and Multiphysics modeling framework to analyze thermal runaway and its propagation (TRP) in battery systems cooled by immersion in dielectric fluids. The model integrates both 1D and 3D simulations, focusing on calibrating energy terms at the single-cell level using 3D Computational Fluid Dynamics (CFD). The calibration process includes a detailed analysis of cell chemistries, exothermic heat release, and thermal runaway
Negro, Sergio, Tyagi, Ramavtar, Kolaei, Amir, Pugsley, Kyle, Atluri, Prasad
A Study on the Influence of Compression Pads on the Safety and Life of a Lithium-ion Cell Module2025-01-813204/01/2025
The demand for eco-friendly electric powertrains has increased significantly in recent years. Cells are the most crucial component of a battery pack, directly influencing the dimensions, range, lifespan, performance, and cost of electric vehicles. Lithium-ion cells outperform other cell chemistries due to their higher energy density, allowing for more compact and lightweight designs while providing longer operational ranges. It is crucial that lithium-ion cell packaging complies with assembly requirements to maximize its lifespan and ensure operational safety. Assembly force requirements of lithium-ion cells are critical to ensure optimal cell performance throughout its lifetime & enhance the longevity of the battery pack. The compression pad between cells ensures appropriate cell assembly pressure. The service life is how long a lithium-ion cell can operate effectively, while the cyclic life refers to the number of charge-discharge cycles before cell functional degradation. The cell
Varambally, Vishakha, Sithick basha, Abubakker, Chalumuru, Madhu, Sasikumar, K
Reducing Temperature-Related Aging Inhomogeneities in Battery Modules Using a Switchable Thermal Management System2025-01-816704/01/2025
The operating temperature of lithium-ion battery (LIB) cells significantly influences their degradation behavior. In indirect liquid cooling systems, temperature variations within a Battery Electric Vehicle (BEV) LIB module are inevitable due to the increasing downstream temperature of the cooling medium as it absorbs heat. This leads to reduced temperature differentials between the cooling medium and the LIB cells. As a result, LIB cells located further along the flow path experience higher average temperatures than those at the front. Typically, a maximum average cell temperature difference of 5 K within LIB modules is considered acceptable. However, results from a conventional cooling system indicate that, when fast charging is exclusively used, this can lead to a 15.5 % difference in the total ampere-hours passed before the End-of-Life (EOL) is reached for the front and back LIB cells. To address this issue, a switchable thermal management system for the traction battery is
Auch, Marcus, Weyershäuser, Konstantin, Kuthada, Timo, Wagner, Andreas
Bio-Based Phase Change Material for Electric Vehicle Battery Thermal Management using Copper Fins: A Numerical Investigation2025-01-817104/01/2025
Electric vehicles (EVs) are gaining popularity due to their zero tailpipe emissions, superior energy efficiency, and sustainable nature. EVs have various limitations, and crucial one is the occurrence of thermal runaway in the battery pack. During charging or discharging condition of battery pack may result in thermal runaway condition. This promotes the requirement of effective cooling arrangement in and around the battery pack to avoid localized peak temperature. In the present work, thermal management of a 26650 Lithium iron phosphate (LFP) cell using natural convection air cooling, composite biobased phase change material (CBPCM) and its combination with copper fins is numerically investigated using multi-scale multi dimension - Newman, Tiedenann, Gu and Kim (MSMD-NTGK) battery model in Ansys Fluent at an ambient temperature of 306 K. Natural convection air cooling was found effective at discharge rates of 1C to 3C, maintaining cell temperature below the safe limit of 318 K for 80
Srivastav, Durgesh, Patil, Nagesh Devidas, Shukla, Pravesh Chandra
CFD-Based Performance Evaluation of Immersion Cooling Fluids for Lithium-Ion Battery Modules2025-01-816304/01/2025
Lithium-ion batteries (LIBs) are critical components in electric vehicles (EVs) and renewable energy systems. However, conventional cooling techniques for LIBs often struggle to efficiently dissipate heat during fast charging and discharging, potentially compromising performance and safety. This study investigates the thermal performance of immersion cooling applied to an Electric Vehicle (EV) battery module comprised of NCA-chemistry-based cylindrical 21700 format Lithium-ion cells. The effectiveness of immersion cooling in reducing maximum cell temperature, temperature gradient, cell-to-cell temperature differential, and pressure drop within the battery module is evaluated on a detailed 3D model of a 360-cell immersion-cooled battery module that was developed, incorporating a well-established heat generation model based on theoretical analysis and experimental data to simulate the thermal characteristics of the battery system. The effects of the different fluid properties are first
Garcia, Antonio, Micó, Carlos, Marco-Gimeno, Javier, Elkourchi, Imad
Comprehensive Mechanical Characterization of Prismatic Lithium-Ion Cells2025-01-812904/01/2025
As electric vehicles (EVs) become increasingly prevalent, ensuring the safety of their battery systems is paramount. Lithium-ion batteries, present unique safety challenges due to their high energy density and the potential for failure under certain conditions. There is an extensive amount of research on pouch and cylindrical cells, however, prismatic cells have not received similar attention. This study presents an extensive series of experimental tests conducted on prismatic cells from two different manufacturers. These tests include flat punch, hemispherical punch, axial compression and three-point bending tests, all designed to assess the cells’ mechanical properties and failure behavior. A model was developed simulating the behavior of the cell under local loading scenarios. While this paper focuses primarily on testing methodologies, initial findings and an introductory FEA model, future work will incorporate these experimental results into detailed FEA models across all loading
Patanwala, Huzefa, Song, Yihan, Sahraei, Elham
Experimental Analysis of Battery Thermal Management Techniques for Electric Vehicle Lithium-Ion Batteries Using MATLAB Simulink, Simscape, and Stateflow Simulations2025-01-816504/01/2025
The use of lithium-ion batteries in electric vehicles marks a major progression in the automotive sector. Energy storage systems extensively make use of these batteries. The extended life cycle, low self-discharge rates, high energy density, and eco-friendliness of lithium-ion batteries are well-known. However, Temperature sensitivity has an adverse effect on lithium-ion battery safety, durability, and performance. Thus, maintaining ideal operating conditions and reducing the chance of thermal runaway depend heavily on efficient thermal management. To address this, experimental study was conducted on various battery thermal management techniques, including active, passive, and hybrid approaches. These techniques were investigated for their cooling efficiencies under different operating conditions. The electro-thermal behavior of cylindrical lithium-ion battery cells, battery packs, and supervisory control techniques were simulated in the study using MATLAB Simulink, Simscape, and
Thangaraju, Shanmuganathan, N, Meenakshi, Ganesan, Maragatham
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