Browse Topic: Fast charging

Items (158)
This paper presents Stochastic Gradient Pulse Adaptation (SGPA), a real-time adaptive pulse-charging system for rechargeable electrochemical batteries that dynamically adjusts charging aggressiveness based on the battery's internal response, as opposed to predetermined CC–CV or fixed pulse profiles. SGPA is different from traditional charging methods that use static current de-rating and conservative voltage limits. Instead, SGPA uses gradient-based feedback from terminal voltage behaviour, temperature changes, internal resistance changes, and state of charge to continuously adapt pulse amplitude and duty cycle. This algorithm boosts the charging intensity when the electrochemical circumstances are good. It lowers the pulses slowly when signs of thermal or impedance-related stress show up. Simulation-based proof-of-concept experiments on a heavy-duty multi-battery system show that charging time is less than with multi-CCCV charging, while still keeping the current distribution across packs balanced. The suggested SGPA method adds an adaptive charging algorithm that is easy to understand and ready to use. It makes fast charging more efficient without lowering voltage and thermal safety limits.
Prakashkumar, BalagopalMannar, Vignesh
The widespread adoption of electric vehicles is currently hindered by long charging durations and limited infrastructure. While fast-charging technologies address these issues, they impose significant thermal loads on high-voltage components. Within this architecture, the Battery Disconnect Unit plays a critical role as it monitors and controls the connection between the battery, powertrain, and charging system. However, the high currents required for fast-charging often drive these units' temperatures beyond safe operating limits, necessitating advanced thermal solutions that do not require extensive redesigns of the vehicle's electrical layout. To address this challenge, this study proposes a passive thermal management solution using Phase Change Material heat transfer devices to enhance the thermal robustness of the component. The methodology employs a dual approach involving initial experimental testing to pinpoint specific thermal hotspots under high-power conditions, followed by detailed numerical simulations using GT-Power software to predict system behavior. Furthermore, the paper provides a comparative analysis of various configurations, assessing their impact on temperature reduction, response time, and thermal uniformity. The results demonstrate that appropriately designed passive solutions significantly improve thermal performance, effectively enabling higher charging power capabilities while minimizing system complexity and integration effort. This innovation provides a scalable and efficient path for improving overall vehicle performance and safety during rapid energy transfer events.
Salameh, GeorgesGoumy, GuillaumeFrecinaux, AnthonyRatajczack, ChristellePalluel, MarlèneNoiseau, PascalLardeux, Sébastien
The rapid adoption of electric vehicles (EVs) with longer driving range demands high-power charging solutions that are efficient, scalable, and reliable. This work introduces a comprehensive simulation framework for megawatt-scale charging systems, focusing on the integration and control of multiple DC/DC converters. With the primary objective of maximizing overall system efficiency during megawatt-scale charging operations. A multi-agent adaptive control strategy is implemented to dynamically optimize operating points and allocate charging currents across converters in real time so that each participating converter operates at its optimal operating point where the maximum possible efficiency is delivered. This multi-agent adaptive control strategy allocates not only the individual optimal operating points of the multiple DC/DC converters but rather determines the optimal number of participating DC/DC converters at each time instance during the charging session. In addition to that, the strategy provides the option of delivering the optimal charging current during each time instance, so that maximized system efficiency is guaranteed during the charging process. Simulation results demonstrate that even a small efficiency improvement of 0.5% can yield substantial environmental benefits at a scale, where a 10 MW charging park avoids nearly 0.9 GWh of energy use and more than 350 t of CO₂ emissions over 10 years. By fully passing these efficiency gains to customers, charging becomes more affordable without compromising service provider margins, while the resulting climate benefits scale directly with utilization, installed capacity, electricity prices, and system lifetime. The proposed approach enables intelligent supervisory control for next-generation high-power charging stations, combining efficiency, cost-effectiveness, and sustainability. These findings support the development of modular, resource-efficient infrastructure for future EV ecosystems.
Salah, AliaAbu Mohareb, Omar
The increasing electrification of vehicles means that heating, ventilation and air conditioning systems have a broader range of tasks and a different priority assessment. In electric cars, air conditioning systems are not only responsible for cooling the passenger compartment, but also for controlling the battery temperature, particularly during rapid charging, which represents a high-load operating point. Furthermore, achieving high thermodynamic efficiency is desirable, as this directly impacts the range of electric cars. The elimination of the combustion engine as a major source of noise prioritizes the noise, vibration and harshness behavior of the refrigerant compressor for product selection. To investigate the vibration and acoustic behavior, as well as the fluid dynamic forces resulting from the cyclic compression principle of an electric refrigerant compressor, a test rig was developed that allows compressors to be operated and measured in isolation in an anechoic chamber under various defined operating conditions. This test rig has been expanded in two ways within the scope of this work. Firstly, the compressor can be either rigidly attached to a dead mass using a VDA mount or measured while suspended freely. Secondly, a new R744-compatible refrigeration circuit has been added to the test rig, enabling compressors operating with the environmentally friendly refrigerant CO₂, which has so far only been used by a few manufacturers in selected models, to be tested. Measurement results obtained using this test rig provide valuable insight into the vibration behavior and sound spectra of the refrigerant compressor's fluid, structural, and airborne noise when operating at different points.
Beer, GabrielSaur, LukasSchwarz, ManuelZemsch, StefanBecker, Stefan
The EU funded innovation project High-Voltage fast-charging Efficient electric vehicle Powertrains (HiVEP) develops innovative technologies for mass-market electric vehicles (EVs) by advancing architectures operating above 800 V. These architectures integrate silicon carbide (SiC)-based power electronics, rare-earth-free electric machines with active winding reconfiguration, high C-rate batteries, and optimized thermal management systems. HiVEP aims to enable fast charging in less than ten minutes, reduce energy consumption by at least 25%, extend the driving range by 20%, and cut system costs by up to 20% in volume production. This article deals in detail with the project objectives, the methodological approach, and the expected key innovations, as well as the technical, environmental, and social impacts. The discussion situates HiVEP within the European research and innovation landscape, emphasizing its role in accelerating adoption of sustainable mobility solutions.
Schernus, ChristofNada, ShadyNeuhaus, ChristophEwald, JensSwierc, DanielKallur-Krishnamoorthy, RajeshVasiliadis, Harilaos
To address the issues of battery overcharge damage caused by voltage imbalance and excessive grid-connected inrush current when high-rate charge-discharge energy storage batteries are connected to the DC side of cascaded energy storage converters, this paper proposes a three-stage pre-charging control strategy considering battery characteristics. This strategy achieves rapid charging and voltage balancing control of energy storage modules through the orderly connection of three stages: “uncontrolled rectification - sorting and voltage balancing - balancing maintenance”. In the first stage, an uncontrolled rectification method with series soft-start resistors is adopted to reduce the inrush current at power-on. In the second stage, based on the FPGA parallel full-comparison sorting algorithm, the DC-side voltage of each sub-module is quickly balanced by switching sub-modules. In the third stage, the number of fixed sub-modules to be cut off is maintained to continuously optimize the state of charge (SOC) balance of energy storage modules until the grid-connection conditions are met. To verify the effectiveness of the strategy, a three-phase 7-module star-connected cascaded energy storage simulation system is built on the Simulink platform. The simulation results show that the control strategy can stabilize the DC-side voltage of sub-modules to 44V and 53V sequentially within 1.2s, significantly attenuate the AC-side inrush current, and finally realize the non-impact grid-connection of the energy storage system. The research results provide technical support for the safe and stable operation of cascaded energy storage grid-connected systems, and improve the charging efficiency and reliability of the system.
Gu, CongWu, RuiZhou, WenCai, WenjieTian, YunxiangYang, Zhiqing
Direct Current (DC) fast charging enables supply of megawatt (MW) scale DC power to the large battery systems of Heavy-Duty Electric Vehicles (HDEVs), such as electric trucks, buses, ferry and construction machinery. This contrasts with Alternating Current (AC) charging, which is limited by the capacity of the On-Board Charger (OBC) that converts AC to DC to charge the battery. In DC fast charging, however, the Electric Vehicle Supply Equipment (EVSE) delivers DC power directly to the HDEVs, bypassing the OBC. The feasibility of fast DC charging has been driven by advancements in semiconductor technology offering higher voltage and current handling capabilities as well as improvements in battery energy density. Ongoing research indicates continued growth in both semiconductor power handling and battery storage capacity, further strengthening the case for fast DC charging. Key benefits include significantly higher charging efficiency, drastically reduced charging times, and lower driver fatigue. However, unlike AC systems, DC based charging infrastructure presents unique protection challenges. These challenges arise from the absence of natural current zero-crossings of DC current and the limited commercial availability of pure DC breakers. This paper presents a concise review of existing protection technologies applicable to DC fast-charging infrastructure, identifying critical gaps in current approaches and evaluating potential solutions for Low Voltage (LV, <1.5 kV) and Medium Voltage (MV, 1.5–35 kV) DC applications. Then a downsized 10 kW prototype of an Ultra-Fast Active Resonance Current Source-Based Hybrid DC Circuit Breaker (UFRDCB) has been developed and experimentally validated as a proof of concept. The prototype successfully interrupts a 1 kA continuous DC current in less than 500 μs, and the corresponding test results are presented and discussed. Finally, the paper outlines a forward-looking roadmap for advancing protection technologies that are critical to the safe and reliable operation of megawatt-scale DC fast-charging infrastructure for HDEVs in the United States and globally.
Rahman, Md Rakib-UrDobrzynski, Daniel
With the rapid advancement of electric vehicle (EV) fast charging technology, battery thermal management faces increasingly critical challenges due to elevated heat generation and stringent safety requirements. Conventional indirect cooling methods often struggle to provide sufficient heat removal under fast charging conditions, leading to potential safety risks. Immersion cooling has emerged as a promising solution because of its superior heat dissipation capability and uniform temperature distribution. In this study, an electrochemical-thermal coupled simulation framework is developed to evaluate indirect and immersion cooling performance under high-power charging conditions. A Pseudo-two-dimensional (P2D) electrochemical EV battery model is developed in GT-SUITE and validated against vehicle charging data. An immersion cooling system is also modeled and integrated into the battery framework to allow comparison with a conventional indirect cooling system under high-power DC fast charging scenarios. Simulation results indicate that immersion cooling achieves a maximum module temperature of 37.5 °C under 250 kW fast charge, which is 4 °C lower than the indirect cooling system. Furthermore, the immersion-cooled pouch cell battery pack can be charged from 10% to 80% SoC within 22 min, 11 min faster than using the indirect cooling system with a temperature limit of 42 °C. These findings demonstrate the potential of immersion cooling to enhance thermal safety, improve charging efficiency, and extend battery life in next-generation EVs.
Guo, YuyangRockstroh, TobyOezdag, ErdalHaenel, PatrickBodemann, BasilToghyani, Somayeh
Predictive Battery Preconditioning Strategy Considering Charging Time, Battery Degradation and Energy Consumption2026-01-01264/7/2026
Electric vehicles (EVs) play a key role in reducing greenhouse gas emissions, yet their widespread adoption remains limited due to long charging times and concerns about battery degradation. To address these challenges, this paper presents a predictive battery preconditioning strategy to optimally prepare the battery before fast charging, with the goal of minimizing either charging time, battery degradation, or energy consumption. The proposed approach employs route-based velocity prediction together with a longitudinal vehicle dynamics model to predict the battery load, ambient temperature, and arrival time at the charging station. Based on this predictive information, the optimal battery temperature trajectory is determined using nonlinear programming with precomputed maps derived from a high-fidelity vehicle model and an electrochemical battery model including physics-based degradation mechanisms. The optimized temperature trajectory is then realized through a nonlinear model predictive controller (NMPC) for the thermal management system. The control-oriented models used for optimization and control, as well as the high-fidelity vehicle model, are parameterized and validated using measurement data. Simulation results demonstrate that the predictive preconditioning strategy enables a reduction in charging time of up to 8.9% or a reduction in battery degradation of up to 6.2% compared to no preconditioning, while outperforming a rule-based preconditioning strategy. Furthermore, the results show that energy consumption cannot be reduced through active preconditioning. Overall, the findings highlight the potential of predictive battery preconditioning to improve charging performance and battery longevity in electric vehicles.
Acker, LukasHofmann, PeterKonrad, Johannes
This paper explores the application of an Improved Enhanced-Boost Quasi-Z-Source Inverter in AC-connected extreme fast charging (XFC) stations for electric vehicles (EVs), aiming to reduce conversion stages and enhance system efficiency. AC-connected XFCs offer superior reliability compared to DC-connected systems due to better fault tolerance and reduced sensitivity to power fluctuations but traditionally suffer from increased complexity and reduced efficiency due to multiple conversion stages. The proposed inverter addresses this by combining DC-DC and DC-AC conversion into a single stage, simplifying the system, decreasing losses, and improving efficiency. Furthermore, this research investigates the use of Spiking Neural Networks (SNNs) for generating the precise pulse width modulation (PWM) signals required for the Quasi-Z-Source Inverter. SNNs offer potential advantages in terms of dynamic response and adaptability compared to traditional PWM techniques, allowing for optimized inverter control under varying load conditions. By operating at a higher modulation index, the inverter reduces switch stress, making it suitable for high-power applications. Analytical results and simulations demonstrate the inverter's potential, enhanced by SNN-based pulse generation, in advancing next-generation fast charging solutions by simplifying infrastructure and improving charging efficiency, positioning it as a promising technology for the future of electric vehicle charging.
Saliesh, DileepSanaboyina, PrudhviChhagar, RohnitsinghSatyanarayan, Swapna
Electric vehicles (EVs) are central to sustainable transport, yet battery service life remains a limiting factor for cost and adoption. Distinct from traditional laboratory-based simulations that often fail to capture the complexity of field conditions, this study investigates how EV user behavior—including driving style and charging demands—influences capacity using large-scale, real-world operational data from daily EV usage. A data-driven framework is developed to quantify driving and charging behaviors through multidimensional feature extraction at the vehicle level and estimate battery State-of-Health (SOH) trajectories, enabling direct linkage between individual behavior patterns and degradation outcomes. Results reveal substantial heterogeneity in aging rates explicitly driven by diverse user behaviors: under identical urban conditions, vehicles with a radical driving style exhibit approximately 81% faster SOH decline per 20,000 km than those with a moderate style; regarding charging intensity, in controlled comparison scenarios, increasing fast-charge counts from the baseline interval of 90–120 to the elevated interval of 150–180 is associated with a ~2.1% reduction in median SOH when holding other factors constant; and similarly, increasing deep charge–discharge events from 160–180 to 220–240 corresponds to an additional ~2.0–2.3% cumulative SOH loss. These findings quantify the behavioral determinants of capacity fade in the field and demonstrate that aggressive driving, frequent fast charging, and deep discharge habits materially accelerate battery degradation. The framework provides actionable evidence for adaptive charging guidance and personalized driving strategies, extending battery longevity and enhancing the sustainability of electric mobility systems.
Liu, TianyiJing, HaoZhu, JiankuanChen, YongjianOu, ShiqiQian, Xiaodong
Developing efficient fast-charging infrastructure along highway corridors is critical for reducing range anxiety and promoting long-distance electric travel. However, traditional static location approaches often fail to account for the stochastic interactions between continuous traffic flows and the stochastic variability of remaining driving ranges. To address these methodological gaps, this study develops a demand-driven optimization framework that integrates an improved Genetic Algorithm with the flow-capturing location-allocation model (GA-FCLM). Unlike static facility location approaches, the flow-capturing location-allocation component is specifically selected to maximize the interception of continuous traffic flows under strict range constraints, while the genetic algorithm efficiently navigates the high-dimensional discrete search space of simultaneous siting and sizing decisions. By synthesizing segment-level traffic flows with Monte Carlo simulations of state of charge (SOC) trajectories, the model accurately reconstructs corridor-level charging demand. For the Beijing-Hong Kong-Macao Expressway, the optimization identifies a robust layout with twenty active stations and 204 fast chargers, requiring a capital investment of 32 million Chinese Yuan (CNY). This configuration achieves a 99% aggregate coverage ratio, effectively eliminating long uncovered segments. Sensitivity analysis reveals that while profit increases linearly with pricing, infrastructure capacity exhibits a nonlinear response to rising electric vehicle (EV) penetration, necessitating strategic spatial rebalancing. The proposed GA-FCLM framework thus provides a scalable and methodologically superior tool for balancing investment costs, coverage continuity, and spatial equity on national highway networks.
Guo, HaifengZhang, JingzhongLian, Jintao
This paper presents research and digital twin modeling results to support work on a methodology to properly account for the energy consumed by the thermal system of a BEV, for use within both existing Petroleum-Equivalent Fuel Economy (PEFE) calculations, and the proposed addition of hot and cold weather range values to the consumer-facing Monroney label [1]. Properly accounting for thermal system impacts would incentivize minimizing energy consumption of these systems, since 1) BEV PEFE is a direct input to an OEMs overall CAFE performance, and 2) the values on the Monroney label has some impact on consumer vehicle choice. The impetus for this work was Final Rules issued by the EPA and NHTSA in early 2024 eliminating A/C Efficiency Credits for BEVs from the 2027 MY, thus eliminating regulatory incentives to minimize energy consumption of these systems. Higher energy consumption will produce a number of negative secondary effects, including higher real-world greenhouse gas emissions, reduced vehicle range, greater strain on the nation’s electrical grid, and higher vehicle mass leading to reduced vehicle safety - should OEMs opt to merely install larger batteries to address cold and hot weather range impacts instead of implementing lower energy-consuming technology. The results from the analysis, which ideally would be confirmed with follow-up vehicle tests, show that for a baseline, PTC-heat based system, thermal system energy consumption represents 19.2% of the total energy consumed by a BEV on an annual basis, using an ambient-VMT weighted approach. It seems to be the technical equivalent of “straining at a gnat while swallowing a camel” to focus so much time and energy on identifying incremental improvements in energy consumption from the propulsion-portion of a BEV, while by comparison ignoring the system that according to this analysis can account for nearly 20% of the total on an annual basis.
Taylor, Dwayne
Accurate modeling of battery temperature rise during fast charging is challenging due to uncertainty around cell heat generation and the thermal characteristics of the materials and interfaces which make up the battery pack. High fidelity thermal models are critical to attaining the best battery pack design, since they enable a multitude of cooling and packaging approaches to be considered prior to building a prototype. In this study, a 3D finite element analysis (FEA) thermal model of a production fast charging battery module is created. A loss model is parameterized as input for the FEA model. A key part of the loss model is the entropic heating coefficient (EHC), which is the change of open circuit voltage with respect to temperature. The EHC is measured by waiting for the cell voltage to reach steady state at various temperatures in 5% and 10% state of charge intervals over its capacity. This is then corrected numerically by accounting for unwanted discharge or rebounds. The EHC is used to calculate reversible loss, and irreversible loss is calculated using terminal voltage measured from the cell. Thermal parameters of the pouch cell are estimated through experimental thermal gradients and comparisons to similar cells. An FEA model of the module, which utilizes edge cooling, is created based on physical measurements. The combined loss and FEA model was found to estimate peak temperature with an error of 3 °C or less for 0.5, 1, and 1.5 C charge rates and 8 °C for a multistep fast charge.
Thornton, JackKollmeyer, PhillipPanchal, SatyamGross, Oliver
Battery modules operate under diverse and complex conditions, such as driving cycles and fast charging. In these scenarios, effective thermal management is critical to ensuring safety and extending the battery's lifespan. Fast-charging scenarios present a particular challenge due to the complex current control strategies that strongly influence cell temperature distribution, making thermal uniformity a key concern. Existing studies focus more on drive cycles, but not sufficient for fast charging. This study presents a coupled electrochemical-thermal simulation framework based on the DCIR (Direct Current Internal Resistance) model to examine heat generation and temperature responses during fast charging. The model incorporates heat conduction pathways and the structural layout of the module, enabling the evaluation of thermal mismatch risks and the optimization of module design and thermal management strategies. The findings offer practical insights for battery thermal management and the development of advanced control strategies.
Xiao, FangzhiChen, GuijieMa, ShihuHu, XiaoSong, ShujunWakale, Anil Bhaurao
This study systematically investigates methods to enhance the fast-charging capability of lithium-ion batteries through advanced simulation. The electrochemical reaction mechanism, heat generation mechanism, and lithium plating mechanism are analyzed in detail, and an electrochemical–thermal coupled model incorporating a lithium plating sub-model is established. A hybrid parameter identification strategy, combining random search, grid search, and manual adjustment, is employed to calibrate the model across different operating conditions, thereby improving its accuracy in reproducing real battery behavior. Lithium plating is selected as the primary indicator to evaluate fast-charging performance. Based on simulation results, the effects of both operational parameters and structural parameters on lithium plating are thoroughly analyzed. The results indicate that lower charging rates, elevated charging temperatures, higher electrode porosity, and reduced tortuosity are favorable for suppressing lithium plating. These conditions improve the uniformity of lithium deposition while alleviating concentration gradients of lithium ions, thus offering valuable insights for battery material design and practical applications. Furthermore, optimized charging protocols are developed on the basis of conventional strategies and their associated impacts on battery behavior. Two novel approaches—the group-based optimized charging protocol and the adaptive optimization-based charging protocol—are proposed by dynamically adjusting the charging rate according to real-time electrochemical states. Validation on the developed electrochemical–thermal model confirms that the proposed protocols can achieve high-rate charging without inducing lithium plating. As a result, charging time is significantly reduced while ensuring safety and reliability. Overall, this research not only provides a comprehensive methodology for modeling and parameter identification but also offers practical strategies for protocol optimization. With solid-state batteries regarded as a promising future technology, the present work provides a potential basis for their advancement.
Zhao, PeiqiangZhan, WenweiQi, JiYi, Yong
The growing adoption of electric vehicles (EVs), particularly those utilizing High-Voltage battery systems, demands fast-charging infrastructure that ensures high efficiency and power quality. The proposed GJO algorithm is employed to optimize the control and switching parameters of the Vienna rectifier, thereby improving harmonic performance and conversion efficiency without altering the converter hardware. This paper focuses solely on control optimization of the Vienna rectifier topology and does not include DC–DC isolation or galvanic separation. Filter components are modeled with equivalent series resistance (ESR) to account for incremental losses. Simulation results demonstrate that the Golden Jackal optimization (GJO) based control reduces input current THD to 2.09%, has a power factor of 0.998, and achieves an efficiency of 98.53%, representing a fractional but consistent improvement over conventional control methods such as SSA, ALO, and PSO. These findings highlight the effectiveness of GJO in enhancing the performance of vienna rectifier-based chargers, establishing it as a promising solution for next-generation high-voltage EV fast-charging infrastructure. However, since the vienna rectifier is a unidirectional converter, the proposed system is limited to grid-to-vehicle operation and does not support reverse power flow (vehicle-to-grid).
R, Mohammed AbdullahN, Kalaiarasi
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 electric vehicle (EV) industry is relentlessly pursuing advancements to enhance efficiency, extend driving range and improve overall performance. A notable limitation of conventional EVs is their fixed-voltage battery architecture, which necessitates compromises in powertrain design and can result in suboptimal efficiency under varying driving conditions. The Dynamic Voltage EV System (DVEVS) presents a transformative solution, allowing the battery pack to dynamically reconfigure its cells between series and parallel connections. This review explores the core principles of DVEVS, including battery topology, power-electronics-based switching, and the integration of hybrid energy storage solutions such as electric double-layer capacitors (EDLCs). We explore the foundational concepts of battery reconfiguration, delve into specific implementation strategies such as power-electronics-based switching and hybrid energy storage systems and address the critical need for adaptive thermal management and advanced charging infrastructure. This review synthesizes a holistic understanding of the DVEVS concept as a transformative approach to achieving reliability, adoptability along with greater efficiency and promising future research in next generations of electric mobility
Amberkar S, SunilRaool, Anuj RajeshM G, ShivanagRajapuram, Bheema Reddy
With rise of EV adoption globally, electrical system of EV’s are continuously moving towards higher voltage for enabling fast charging capabilities and addressing efficiency. High Voltage electrical safety is a crucial part of safety standards for Electric Vehicles. There are several challenges, when any electrical system operating in High voltage region. This is posing risk for user, it means from design stage these systems should be designed in such a way for safeguarding user. These electric safety concepts are already mapped through different safety standards. In this paper, this high voltage safety related test and functional & constructional requirements will be explored through different EV standards and finally a comparatively analysis carried out.
Bhateshvar, Yogesh KrishanMulay, Abhijit BSantosh Jambhale, MedhaPatil, Sanjay
With the rise of EVs, researchers are focusing on optimizing busbar design to meet the demands of high energy density, fast charging, and compact battery packs. The busbar design starts by selecting the material and the cross-sectional area required based on the rated current requirement. The width matches or may exceed the battery cell terminal size, whereas the length is optimized such that it is packaged within the given space constraints. The research also highlights the risk of busbars to oxidation and corrosion, which increases resistance and decreases conductivity for which plating/coating techniques are applied to improve the surface finish, overall durability, conductivity and in some cases the surface hardness, while minimizing the heat loss. Using simulations and experimental validation, the study examines three key design parameters: the weld diameter for busbar welded joints, electrical resistance, and contact resistance. A detailed analysis investigates how the weld diameter influences the electrical resistance and temperature rise over ambient and the impact of contact resistance between busbars and battery cell terminals on energy efficiency and thermal behavior. The above parameters if not designed and optimized may create a bottleneck in achieving a higher performance which the cells can deliver but it will be limited because of an uneven current distribution, higher heat generation and busbar temperatures exceeding the limiting values. This makes the busbars a critical component in the battery pack design for achieving the desired performance as well as reducing concerns of overall battery safety. This study highlights the importance of an optimized busbar design for creating safer, more efficient, and reliable EV battery packs by addressing key thermal and electrical challenges.
Nogdhe, YogeshSingh, Shobit KumarPaul, JibinMishra, MukeshMenon, Praveen
This comprehensive research presents an in-depth analysis of communication protocols essential for implementing fast charging systems in India's rapidly expanding electric two-wheeler and three-wheeler market. As India witnesses unprecedented growth in electric mobility, with two-wheelers representing over 95% of current EV sales, the establishment of standardized, secure, and efficient charging protocols becomes paramount for widespread adoption. This study examines the current landscape of AC charging methodologies, evaluates the technical and economic feasibility of DC fast charging implementation, and provides detailed comparative analysis of existing international standards including IS 17017-25, IS 17017-31, ChaoJi, and CCS 2.0. The research concludes with strategic recommendations for developing cyber-secure, cost-effective charging infrastructure specifically tailored to meet India's unique market requirements and operational constraints.
Uthaman, SreekumarMulay, Abhijit B
India's electric 2-wheeler (E2W) market has witnessed fast growth, driven by lucrative government policies. The two-wheeler segment dominates the Indian automotive market, accounting for the largest share of total sales. Consequently, the manufacturers of 2-wheelers are developing new electric vehicles (EV) tailored for the Indian market. However, the Indian EV market has witnessed multiple fire accidents in recent years, raising safety concerns among consumers and industry stakeholders. These incidents highlight key weakness in battery thermal management systems (BTMS), particularly during charging. Most existing E2W BTMS relies on passive (natural) air cooling, which has been associated with fire incidents due to its inefficiency in heat dissipation, particularly during charging in India's high-temperature environment. Therefore, it is imperative to build thermally viable and economical BTMS for the growing E2W vehicles with fast charging capability. FEV is actively developing the thermally efficient and cost-effective BTMS solutions tailored for Indian E2Ws operating in extreme climatic conditions. The present study evaluates a novel approach of integrating heat carrier plates into the E2W with 3.6 kWh battery pack, which is analyzed under natural and forced air cooling system. The airtight battery pack is located under the floorboard region. The multiple internal heat carrier plates models are developed and integrated with aligned and staggered cell arrangement to evaluate heat dissipation and temperature uniformity with the battery pack. The study further proposes a concept of duct and fan placement for the application during forced air cooling. The simulations are performed at a high ambient temperature of 45 °C, representing a worst-case scenario in India, using charging rates of 0.2 C for natural cooling and 0.35 C for forced cooling. The results show that the aligned cell model with 4-heat carrier plates achieve superior temperature distribution across cells, with a lower average module temperature of 49.6 °C, minimal temperature gradient of 1.3°C and reduced maximum cell temperature of 50 °C, under natural cooling. In forced air-cooling mode, the split air duct model provides better cooling over the battery cover surfaces with maximum temperature of 55 °C with ΔT of 4°C. The study also presents comprehensive details of modelling approaches and outlines the scope of further research for developing thermally efficient BTMS for E2Ws.
Raut, AnkitHiremath, Vinodkumar SEmran, AshrafGarg, ShivamBerry, Sushil
The increasing importance of electric vehicles requires addressing challenges related to fast charging, safety, and battery range. Thermal management ensures safety, prolongs battery life, and enables extremely fast charging. In this regard, this article proposes a novel battery thermal management system (BTMS) optimization approach based on a model-free deep reinforcement learning (RL) for a battery pack of an electric vehicle under extreme fast-charging conditions considering the detailed dynamics of vehicle-level BTMS. The objective of the proposed approach seeks to minimize the battery degradation and power consumption of the underlying BTMS. In this respect, the dynamic equations of the thermal system model are constructed considering the air-conditioning refrigerant loop and indirect battery liquid cooling loop. Further, the proposed methodology is implemented on a battery pack, and the results are compared with those of model predictive control (MPC) and proportion–integral–derivative (PID) as representatives of optimal control and tracking control baseline strategies, respectively. It is shown that if a perfect BTMS model is at the disposal of MPC, MPC performance can be as good as that of the proposed RL. However, the proposed RL algorithm is 48 times faster than MPC during testing. The superiority of the proposed deep RL over MPC is attributed to its model-free nature. Lastly, the RL outperformance is shown over the PID controller in terms of both battery degradation and BTMS power consumption, where the former is improved by up to 1.05% whereas the latter is improved by up to 43.68%.
Arjmandzadeh, ZibaHossein Abbasi, MohammadWang, HanchenZhang, JiangfengXu, Bin
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 charging times and connecting with renewable energy sources, enhancing transportation sustainability. Vehicle to grid (V2G) capabilities allow Electric vehicles to act as storage devices, providing grid support and contributing to energy stability. Key components in EVs include wide band semiconductors like Silicon Carbide and Gallium Nitride, which offer superior efficiency, higher temperature tolerance, and better thermal management compared to current silicon semiconductors. These materials are effective in high-power applications and revolutionize power electronics technologies. In summary, power electronics is necessary for integrating renewable energy, electrifying transportation, and optimizing energy use in EVs. Its impact drives the transition to a low-carbon future and supports the sustainability of modern transportation systems.
Pipaliya, Akash PravinbhaiHatkar, Chetan
Charging time remains a major challenge in the development and adoption of electric vehicles (EVs). The difficulty of locating a charging station, combined with the significant duration required for a full charge, has become an increasingly critical factor influencing consumer decisions. Fast-charging is being progressively implemented not only in newly developed EVs but also retrofitted into existing ones. However, one of the main limitations of fast-charging is the overheating of various components within the vehicle, the charging station, and the charging infrastructure. A key element in this system is the Battery Disconnect Unit (BDU), which is responsible for monitoring, activating, and deactivating the high-voltage battery system. It is crucial to maintain the BDU within safe operating temperatures to prevent overheating and ensure reliable operation. Currently, these components are typically designed for standard charging power. However, as charging power increases and charging time decreases, thermal management becomes more and more important. This paper presents a passive solution to enhance the thermal performance of the BDU, allowing it to handle higher power levels without the need for a complete redesign of the cooling system or the vehicle’s high-voltage power distribution network. The proposed solution is evaluated through a combination of simulations and experimental testing. An initial test campaign is carried out to identify the system's thermal hotspots. The component exhibiting the highest temperature rise is selected for targeted cooling improvement. Its thermal behavior is then modeled using GT-Power software to assess the effectiveness of the proposed passive cooling strategy.
Salameh, GeorgesGoumy, GuillaumeChalet, DavidDubouil, RémiFrecinaux, AnthonyPalluel, MarlèneRatajczack, ChristelleNoiseau, Pascal
CAMX Power is developing enhanced safety, high-power, OV-tolerant Li-ion 6T batteries implementing our CELX-RC® chemistry which incorporates our proprietary GEMX® cathode opposite lithium titanate (LTO) anode. The advantages of the CAMX Power 6T battery include high tolerance of severe mechanical, thermal and electrical abuse, exceptional fast charge capability, and extreme low-temperature performance capabilities (e.g., -60 °C). This 6T battery can also be repeatedly discharged to 0V and stored in that condition without maintenance, greatly enhancing logistical management, handling and safety. The CAMX Power 6T battery will provide enhanced performance and safety in extreme environments and operational conditions which cannot be met by 6T batteries made with conventional Li-ion chemistry.
Ofer, DavidHui, SamTorname, NoahMcCoy, ChrisSiegal, EdNedder, DavidStringfellow, RichardRutberg, Michael
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
This paper examines the impact of the distribution of charging and hydrogen refueling stations on their reachability for craft vehicles with a defined usage profile. A simulation-based methodology is presented for this purpose. The simulation models daily trips for craft vehicles, considering amongst others the company location, the client stops, the operating radius and the mean daily driving distance. Based on these inputs, the number of charging or refueling opportunities for typical daily trips of the craft vehicle is calculated. To investigate the impact of locations on the frequency of encountering energy provisions, simulations are conducted in three regions: Ulm (urban), Stuttgart (metropolitan), and Munderkingen (rural). Furthermore, the impact of different locations within the same infrastructural area is examined by assessing multiple company locations in Ulm. The findings indicate that the urban zone of Ulm is characterized by a highly dense electric fast charging infrastructure within the city limits. The results show that location variations within an infrastructural homogenous area do not play a decisive role, much more important is the superordinate infrastructure. However, the surrounding areas exhibit a notable deficiency in the availability of fast charging points. The metropolitan area of Stuttgart has a dense network of electric charging stations in and around the city. In contrast, the rural area of Munderkingen has a very limited number of fast charging stations. In addition, a parameter variation is carried out within this study. This quantifies the influence of the parameters that specify the usage profile of the vehicles with regard to the local infrastructure. The hydrogen refueling station infrastructure is also being investigated. The contribution of two possible future hydrogen refueling stations to the supply of hydrogen-powered craft vehicles in Ulm is being examined.
Heilmann, OliverMüller, JulianHeinrich, MarcoCortès, SvenSchlick, MichaelKulzer, André Casal
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 charging. To mitigate the thermal stresses generated by these extreme charging conditions, an immersion Battery Thermal Management System (BTMS) is proposed and analyzed. This advanced cooling system is specifically selected to manage the rapid heat generation associated with fast charging. Simulation results confirm the effectiveness of the BTMS in maintaining cell temperatures within safe operational limits, minimizing thermal gradients, and preventing overheating even in the most challenging conditions. Under natural convection cooling, the module temperature reached 368 K at an ambient temperature of 303 K and 396 K at 333 K, emphasizing the need for active cooling solutions to avoid thermal runaway and ensure safety. The lumped heat generation model, validated for a single cell and extended to a 16-cell battery module, demonstrated high computational efficiency and applicability for real-world thermal management scenarios. Immersion cooling systems effectively kept the module temperature below 308 K, with inlet coolant velocities up to 12 m/s required in extreme conditions (333 K), reducing the maximum cell temperature from 397.5 K to below 308 K, achieving a temperature drop of over 89.5 K in less than 45 seconds. The study also found that temperature uniformity was achieved after 0.4 SOC at 303 K. High-speed cooling is essential during the brief charging period (approximately 700 seconds), with high coolant velocities crucial for rapid thermal regulation. These findings provide critical insights into charging strategies and cooling mechanisms, offering a pathway to safer, more efficient, and thermally stable operation in electric vehicles and energy storage systems, even under extreme environmental and operational conditions.
Jahanpanah, JalalMahmoudzadeh Andwari, AminBabaie, MeisamKonno, JuhoAkbarzadeh, Mohsen
Electric double-layer capacitors (EDLCs) store charge by adsorbing ions at the electrode-electrolyte interface, offering fast charge/discharge rates, high power density, minimal heat generation, and long cycle life. These characteristics make EDLCs ideal for memory backup in electronic devices and power assistance in electric and hybrid vehicles. However, their energy density is lower than that of batteries, necessitating improvements in electrical capacity and potential. Traditionally, activated carbon with a high specific surface area has been used, but recent research focuses on mesoporous carbon materials for better ion diffusion. This study uses resorcinol-formaldehyde-carbon cryogel (RFCC) with mesopores and organic electrolytes with a wider electrochemical window. Various RFCCs with different pore sizes were synthesized and evaluated. Comprehensive investigations into the pore structures and surface properties of both synthesized carbon gels and commercial mesoporous materials were conducted. EDLCs with organic electrolytes were fabricated, and their electrochemical performance was analyzed. Findings indicate that mesoporous carbon gels significantly enhance capacity in high-rate charge-discharge cycles due to improved ion diffusion, highlighting their potential in optimizing EDLC performance.
Cheng, ZairanOkamura, TsubasaOhnishi, YutoNakagawa, Kiyoharu
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 proposed. In this concept, the coolant inlet flow direction is reversed after every fast charge. Compared to conventional systems, this flow direction switch can increase the total ampere-hours passed by 7.2 %, leading to a corresponding 7.2 % increase in vehicle range until the first cell reaches EOL. The concepts are evaluated using a validated 1D electro-thermal-aging model. Additionally, a 3D electro-thermal Computational Fluid Dynamics (CFD) model of a module section, including a wavy-mini-channel cooling design, is employed. Together, these approaches ensure that the 1D model accurately captures the thermal behavior of the LIB module cells.
Auch, MarcusWeyershäuser, KonstantinKuthada, TimoWagner, Andreas
aThe lengthy charging time of lithium-ion batteries for electric vehicles (EVs) significantly affect their acceptance. Reducing charging time requires high-power fast charging. However, such fast charging can trigger various side reactions, leading to safety and durability issues. Among these, lithium plating is a major concern as it can reduce battery capacity and potentially cause internal short circuits or even thermal runaway. Currently, multi-stage constant current charging (MCCC) protocols are widely adopted. However, the difficulty in effectively detecting lithium plating during the MCCC process significantly limits the charging power. Therefore, it is urgent to explore a method to detect lithium plating during the MCCC process. In this study, the impedance evolution during the MCCC procedure was first investigated. Then a method based on the impedance variation patterns was proposed to detect lithium plating. Besides, the reason for the behavior of impedance changes was further investigated. Specifically, the experimental results suggest that when lithium plating occurs, it leads to an abnormal decrease in the 1 Hz impedance. This phenomenon is observed across different temperatures and charging rates during the MCCC process. By monitoring the trend of abnormal accelerated decrease in 1 Hz impedance, lithium plating can be accurately detected before it significantly deteriorates. Furthermore, this method was integrated into the battery management system (BMS), enabling a closed-loop MCCC protocol, which provides a method that can be used to prevent irreversible lithium plating while shortening charging time. The impedance-based method provides a feasible solution for non-destructive online lithium plating detection during the MCCC procedure, offering a practical approach for fast charging of EVs.
Shen, YudongWang, XueyuanWu, HangWei, XuezheDai, Haifeng
Efficient and robust optimization frameworks are essential to develop and parametrize battery management system (BMS) controls algorithms. In such multi-physics application, the tradeoff between fast-charging performance and aging degradation needs to be solved while simultaneously preventing the onset of thermal runaway. To this end, a multi-objective optimization framework was developed for immersion-cooled battery systems that provides optimal charging rates and dielectric flowrates while minimizing aging and charging time objectives. The developed production-oriented framework consists of a fully coupled, lumped electro-thermal-aging model for cylindrical cells with core-to-surface and immersion-cooling heat transfer, the latter controlled by the dielectric fluid flowrate. The modeled core temperatures are inputs to a semi-empirical aging degradation model, in which a fast-aging solver computes the updated capacity and internal resistance over multiple timescales, which in turn affect the cell electrical response and Ohmic heat generation. All building-block models are validated using cell core/surface and fluid temperature measurements and cycle aging experiments of 21700 cells with Nickel-rich NCA chemistry. The multi-physics model is coupled to a multi-objective genetic algorithm (GA) optimizer with fast charging time taken from 0%-80% SOC and aging degradation objectives, and cell core temperatures taken as nonlinear constraints. We do not consider the cell temperature as a separate cost function since it is taken as a stress factor for the aging cost. The framework provides evolving Pareto fronts with State of Health (SOH)-dependent optimal charging current profiles and dielectric flowrates, providing a system-level controls optimality between the BMS and the thermal management unit (TMU).
Suzuki, JorgeTran, Manh-KienTyagi, RamavtarMeshginqalam, AtaZhou, ZijieNakhla, DavidAtluri, Prasad
Electrifying truck fleets has the potential to improve energy efficiency and reduce carbon emissions from the freight transportation sector. However, the range limitations and substantial capital costs with current battery technologies imposes constraints that challenge the overall cost feasibility of electrifying fleets for logistics companies. In this paper, we investigate the coupled routing and charge scheduling optimization of a delivery fleet serving a large urban area as one approach to discovering feasible pathways. To this end, we first build an improved energy consumption model for a Class 7-8 electric and diesel truck using a data-driven approach of generating energy consumption data from detailed powertrain simulations on numerous drive cycles. We then conduct several analyses on the impact of battery pack capacity, cost, and electricity prices on the amortized daily total cost of fleet electrification at different penetration levels, considering availability of fast charging at the depot. Findings indicate that at typical energy density of current battery technology, there is an optimal battery pack capacity that results from the contradicting effects of increasing pack capacity on cost, life span, weight and energy consumption. It is also observed that with currently improving trends in battery pack costs and availability of reduced electricity prices at the depot, such as with renewable microgrids, fleet electrification can become viable even at low levels of penetration.
Wendimagegnehu, Yared TadesseAyalew, BeshahIvanco, AndrejHailemichael, Habtamu
Charging a battery electric vehicle at extreme temperatures can lead to battery deterioration without proper thermal management. To avoid battery degradation, charging current is generally limited at extreme hot and cold battery temperatures. Splitting the wall power between charging and the thermal management system with the aim of minimizing charging time is a challenging problem especially with the strong thermal coupling with the charging current. Existing research focus on formulating the battery thermal management control problem as a minimum charging time optimal control problem. Such control strategy force the driver to charge with minimum time and higher charging cost irrespective of their driving schedule. This paper presents a driver-centric DCFC control framework by formulating the power split between thermal management and charging as an optimal control problem with the goal of improving the wall-to-vehicle energy efficiency. Proposed energy-efficient charging strategy would provide a solution as per the driver’s itinerary or chosen charging time, allowing the driver to choose the trade-off between charging time and cost. A reduced order single particle model is used to model the battery states and limit the charging current, ensuring battery longevity. Detailed simulation study is performed to analyze the trade-off between the charging time and energy consumption.
Gupta, ShobhitKang, Jun-MoZhu, YongjieLee, ChunhaoZanardelli, Wesley
Battery health status and driving rangeof electric vehicles (EVs) are critical factors in determining their market penetration. Choosing an optimal charging strategy—specifying how, when, and for how long to charge based on the driver’s travel behavior—can significantly mitigate battery degradation and extend battery life. This study introduces an EV powertrain system energy model designed to enhance the prediction accuracy of battery status under real-world driving conditions. By integrating with the Q-learning approach, this studyprovides tailored recommendations on charging behaviors, including charger type, start time, and charging duration. This study innovatively considers the rental costs caused by the battery capacity not being able to meet the daily driving range. Simulating a typical three-year usage scenario for an average driver in New England, the results indicate that thecharging strategy proposed by this study reduces battery degradation rates by 1.53‰, 3.57‰, and 7.68‰ compared to strategies using only Level 2 charging, direct-current fast charging, or extreme fast charging, respectively. This combination of data-driven and physical-modeling approach demonstrates that integrating intelligent charging strategies can improve battery health, reduce operational costs, and meet driver travel demands, thereby enhancing the overall economic feasibility of EVs over their lifecycle.
Wang, JiayiJing, HaoOu, Shiqi (Shawn)Lin, Zhenhong
Mitsubishi Fuso Truck and Bus has announced it will conduct a joint demonstration of its Battery 2nd Life initiative this year. This initiative will be jointly conducted with CONNEXX Systems and will repurpose used batteries from Mitsubishi eCanter trucks to build energy storage systems. According to Mitsubishi, CONNEXX will remove the used batteries from end-of-life eCanters and repurpose them as power sources for what CONNEXX has dubbed its EnePOND EV Charger energy storage systems. These units have integrated EV chargers developed by CONNEXX that can reportedly reduce the load on the existing power grid while allowing for DC fast charging of multiple EVs simultaneously. CONNEXX also noted that these units enable EV charging during power outages.
Wolfe, Matt
The added connectivity and transmission of personal and payment information in electric vehicle (EV) charging technology creates larger attack surfaces and incentives for malicious hackers to act. As EV charging stations are a major and direct user interface in the charging infrastructure, ensuring cybersecurity of the personal and private data transmitted to and from chargers is a key component to the overall security. Researchers at Southwest Research Institute® (SwRI®) evaluated the security of direct current fast charging (DCFC) EV supply equipment (EVSE). Identified vulnerabilities included values such as the MAC addresses of both the EV and EVSE, either sent in plaintext or encrypted with a known algorithm. These values allowed for reprogramming of non-volatile memory of power-line communication (PLC) devices as well as the EV’s parameter information block (PIB). Discovering these values allowed the researchers to access the IPv6 layer on the connection between the EV and EVSE and use traditional ethernet penetration testing methods, including port and vulnerability scanning. Port scanning exposed open SSH and HTTP services, the latter of which was vulnerable and allowed unauthenticated retrieval of proprietary information. The ports should be secured, or closed if unneeded, to prevent this type of vulnerability.
Kozan, Katherine
For the heat dissipation design of charging equipment for electric vehicles, a study is conducted on the thermal performance and its influencing factors of a specific alternating current (AC) charging device. First, based on heat dissipation theory and CFD simulation software, the corresponding finite element model is established and verified through experiments. Next, using the verified finite element model and applying the orthogonal experimental method, the factors influencing the heat dissipation performance of the AC charging pile, such as ambient temperature, output current of the AC charging pile, and surface radiation characteristics, are investigated. Finally, a prediction model for the maximum temperature of the main board is established using the response surface method (RSM), and the effects of each factor on the maximum main board temperature are analyzed, enabling rapid prediction of the heat dissipation performance of the AC charging pile. The analysis of the orthogonal experimental results shows that the ambient temperature, surface radiation characteristics, and output current all have a significant impact on the heat dissipation performance of the AC charging pile. Among these factors, the ambient temperature has the greatest impact, followed by the surface radiation characteristics, while output current has the least effect. The prediction model concludes that as the output current of the AC charging pile increases, the radiative heat dissipation performance improves. For AC charging piles with higher output power, enhancing the emissivity of the shell surface is an effective method to improve the thermal performance of the charging pile. Additionally, the higher the environmental temperature, the greater the impact of output current on the maximum temperature of the main board. When the environmental temperature decreases, the output current can be significantly increased to enhance the charging speed of the AC charging pile.
Tang, YuYan, ChongjingLu, FeifeiJiang, BingyunBao, YidongHu, Peng
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
To investigate the characteristics of a battery direct-cooling thermal management system integrated with the passenger compartment air-conditioning in a range-extended hybrid electric vehicle (REV), a model of the vehicle’s direct-cooling and liquid-cooling thermal management systems was established in GT-SUITE software. The findings are as follows: (1) Under high-temperature fast-charging conditions, the direct-cooling thermal management system exhibited improved performance indicators compared to the liquid-cooling system. Specifically, the charging time was reduced by 3.8%, the maximum heat exchange power increased by 27.33%, the battery temperature decreased by 2.37°C, the thermal decay rate was only 6%, and the average system energy efficiency ratio increased by 8.37%. (2)The outlet pressure of the direct-cooling plate significantly affected the temperature reduction of the battery pack during high-temperature fast-charging. The results indicated that within a certain range, a lower outlet pressure of the cooling plate led to a greater average temperature reduction of the battery pack. (3)Under high-speed cruising conditions, the direct-cooling thermal management system also demonstrated improved performance indicators compared to the liquid-cooling system. Notably, the average temperature reduction of the battery pack increased by 18.8% with the direct-cooling system. The inlet water temperature of the electric motor and the temperature reduction in the passenger compartment were nearly identical and met thermal safety requirements. (4)Significant differences in battery pack temperature reduction were observed under three thermal balance conditions with the direct-cooling thermal management system. Specifically, the temperature reduction was smallest during high-speed cruising and largest during high-speed climbing, with an increase of 13.52% compared to high-speed cruising. This study provides a theoretical basis for the practical application of direct-cooling thermal management systems in range-extended vehicles.
Li, Li-JieSu, ChuqiWang, Yi-PingYuan, Xiao-HongLiu, Xun
In cold environments, it is slow and risky for charging rate of electric heavy-duty trucks due to lithium plating. Common heating-charging methods overlook the complex dynamics between current, temperature, and battery aging, which need to be further improved. This study presents a tailored thermal management strategy for low-temperature battery charging, analyzing heating performance and battery improvement effect on the fast-charging performance. The data-driven multi-tiered power heating strategy based on a customer electro-thermal-aging model was proposed to minimize charging time and costs. The heating power combinations have been optimized by a particle swarm optimization algorithm, which outperforms conventional methods that aim to reach a set temperature. The optimized strategy reduced charging time by 11% and battery life degradation by only 0.0512%, enhanced the efficiency of cold-weather fast charging for electric trucks.
Lin, JieweiJiang, FeifanDai, HuweiSun, LeiLiu, BaoguoLi, ShiboZhang, Junhong
Fast chargers are necessary for the success of vehicle electrification. These devices can achieve a battery charge rate greater than 4C, significantly increasing the amount of heat generated by the battery. Additionally, the operating temperature of the storage device directly influences the device’s efficiency and lifespan. Given the importance of operation temperature, the Battery Management System (BMS) plays a key role in mitigating heat generation and degradation effects. Despite BMS optimizing battery operation under all possible conditions, the use of fast chargers in extremely hot and cold environments still lowers overall efficiency. In these two worst-case scenarios, the thermal system must manage the ideal charging temperature by consuming part of the energy supplied by the charger. The present work aims to evaluate the charging energy efficiency and time with fast charger utilization, considering the Brazil’s minimum and maximum temperatures registered in 2020. In order to establish the same comparison basis, a vehicle with battery capacity of 42 kWh is modeled and a simplified BMS charging strategy is defined. Experimental tests are done for an electric vehicle submitted to fast charging to validate the model. The results point out that charging under the extreme hot temperature is more efficient than the extreme cold temperature. In comparison to charging at 30°C, charging under the extreme hot temperature decreases the overall efficiency by 1.32% and raises the total charge time by 97 seconds. For the colder temperature case, the efficiency reduction obtained is 4.36% and the time increase by 10 minutes.
Pires, Rodrigo AlonsoPontes, Diego AugustoSouza, Rafael BarbosaOliveira, Matheus Leonardo AraújoRodrigues, Luiz Fernando AlvesFernandes, HederMaia, Thales Alexandre Carvalho
Anode material, responsible for the critical storage and release of lithium ions during charge and discharge cycles, holds paramount importance. By strategically altering the material design and composition of the current graphite, researchers aim to significantly improve fast charging capabilities, energy density, cycling stability and overall electrochemical kinetics within Lithium ion battery. Anode materials operate through three primary mechanisms: insertion/de-insertion that is allowing for reversible lithium ion accommodation within the host structure; alloying, where lithium ions form chemical bonds with the anode material; and conversion reactions, involving the creation of new phases during charge/discharge cycles. This review delves into a captivating array of advanced anode materials with the potential to surpass the limitations of traditional graphite. Carbon-based nanomaterials like graphene and its derivative, reduced graphene oxide, offer exceptional conductivity and structural integrity. Metal oxides and sulfides, exemplified by Fe₂O₃ (iron(III) oxide) and MoS₂ (molybdenum disulfide), boast high theoretical capacities, though challenges in volume change and conductivity persist. Metal oxide-carbon hybrids attempt to synergistically combine the strengths of both components. Mxenes, a new class of two-dimensional transition metal carbides, exhibit fascinating characteristics like high electrical conductivity and hydrophilicity, promoting fast lithium-ion transport. Perovskite structures, renowned for their diverse compositions and tunable properties, present exciting possibilities. High entropy alloys, with their unique multi-principal element compositions, offer exceptional structural stability during cycling. Finally, silicon-based anodes, while boasting the highest theoretical capacity among all potential anode materials, face significant volume change issues that necessitate innovative strategies for mitigation. By meticulously dissecting the diverse synthesis methods, unique electrochemical mechanisms, specific capacities, and long-term cycling capabilities of these advanced anode materials, researchers pave the way for the identification of a better candidate to replace the existing graphite anode, ultimately propelling Lithium ion battery technology towards a brighter future in powering the next generation of electric vehicles.
Borkar, ShwetaNahalde, SujayRuban J S, AlwinMore, Hemant
Chinese battery manufacturer CATL (Contemporary Amperex Technology Co. Ltd.) completed the launch of its TECTRANS battery system for the commercial transport sector at IAA Transportation, which took place in September in Hanover, Germany. CATL added its heavy-duty truck and bus/coach battery ranges to the light-truck range that the company launched in China in July 2024. For heavy-duty trucks, CATL offers two alternatives: the TECTRANS - T Superfast Charging Edition and the TECTRANS - T Long Life Edition. As the name suggests, the Superfast Charging Edition is designed to offer rapid charging capability for operators needing to recharge during a duty cycle. CATL quotes a 4C peak charging rate, which would permit a charge to 70% in 15 minutes.
Kendall, JohnGehm, Ryan
Balancing low conductivity, corrosion resistance and optimum heat transfer in next-generation EV coolants while meeting new EV safety regulations. Managing the heating and cooling of electric vehicle propulsion systems may seem to be an easy task compared with combustion engines. After all, ICEs run much hotter-the thermal optimum for a gasoline engine is around 212 F (100 C). By comparison, EV batteries normally generate (as a function of current during charge/discharge cycles) a relatively cool 59-86 F (15-30 C). And while motors and power electronics operate hotter, typically 140-176 F (60-80 C), they still run cooler than ICEs. But among the myriad complexities of EV thermal management are batteries' dislike for temperature extremes, new cell chemistries, heat-generating high-voltage electrical architectures and 800V fast charging. All are putting greater focus on maintaining stable EV battery thermal performance and safety. Experts note that compatibility among the cell chemistry, hardware, and coolant fluid is the key to a balanced systems solution.
Brooke, Lindsay
As the world looks to net-zero emissions goals, hybrid electric vehicles may play an increasingly important role. For passenger electric vehicles (EVs) that predominantly make short journeys but occasionally need to make longer trips, electrofuel range extension may be more cost effective than either hydrogen or rapid charging. Micro gas turbines and catalytic combustion show significant potential to deliver low-cost, low-maintenance, lightweight engines with virtually no emissions, and hydrocarbon consuming solid oxide fuel cells show even greater potential in these areas. Aditioanlly, sodium-ion batteries for EVs, dispatachable vehicle-to-grid power and buffering, and variable intermittent renewable energy could also play key roles. The Role of Hybrid Vehicles in a Net-zero Transport System explores the costs, considerations, and challenges facing these technologies. Click here to access the full SAE EDGETM Research Report portfolio.
Muelaner, Jody E.
As an important contributor to greenhouse gas emissions, the road freight sector plays a significant role when it comes to reaching global climate goals. Due to the requirements regarding payloads and ranges, the transition towards zero emissions is particularly challenging in this sector. A technical solution that can contribute to the reduction of greenhouse gas emissions are electrified semi-trailer systems. These vehicles can be combined with conventional tractor vehicles in order to reduce their fuel consumption and CO2 footprint, as well as with tractor vehicles with alternative powertrains to increase their driving range. In this paper, a simulation study that evaluates the potentials of different configurations for such a system is performed. In the first part the general working principle of an electrified trailer is described. This includes a cloud based predictive energy management system that was used during the simulations. Based on a general vehicle model, the potentials of using electrified trailers in combination with a conventional tractor vehicle are evaluated. The study includes different powertrain configurations and battery systems. The different configurations were evaluated regarding their potential on fuel consumption reduction, greenhouse gas emissions and their influence on the total costs of ownership. Options like public fast charging and the use of a hybrid battery storage system that combines different battery cells were also evaluated. Regardless of their specific configuration, the electrified trailer variants showed a significant potential for a reduction of fuel consumption and greenhouse gas emissions. The results also indicated the potential to achieve lower overall costs compared to a baseline vehicle with a conventional trailer.
Knaup, LarsBeidl, Christian
Items per page:
1 – 50 of 158