Heavy-duty trucks idling during the hotel period consume millions of gallons of diesel/fuel a year, negatively impacting the economy and environment. To avoid engine idling during the hotel period, the heating, ventilation, and air-conditioning (HVAC) and auxiliary loads are supplied by a 48 V onboard battery pack. The onboard battery pack is charged during the drive phase of a composite drive cycle, which comprises both drive and hotel phases, using the transmission-mounted electric machine (EM) and battery system. This is accomplished by recapturing energy from the wheels and supplementing it with energy from the engine when wheel energy alone is insufficient to achieve the desired battery state of charge (SOC). This onboard battery pack is charged using the transmission-mounted EM and battery system during the drive phase of a composite drive cycle (i.e., drive phase and hotel phase). This is achieved by recapturing wheel energy and energy from the engine when the wheel energy is

Huang, Ying, Hanif, Athar, Ahmed, Qadeer

Application of a Chemical Kinetic Modeling Approach within a Fully Coupled Computational Fluid Dynamics Simulation of Battery Cells during Thermal Runaway

14-14-02-0014

06/11/2025

The objective of the current study is to systematically evaluate the battery thermal runaway heat release rate through chemical kinetics and then study its effect on battery module and pack level. For this purpose, a chemistry solver has been developed, capable of simultaneously solving the thermal runaway kinetics in multiple battery cells with the cell-specific chemistry model and battery active material compositions. This developed solid body chemistry (SBC) solver assumes a homogeneous system in the specified geometrical selection. A 3D representation can be achieved by setting up multiple solver selections in one solid domain (battery cell) as the SBC solver is capable of handling multiple selections, chemistry models, and battery active material compositions. Further, the SBC solver is fully integrated in a commercial three-dimensional computational fluid dynamics (3D-CFD) code. Thus, enabling to simulate the real-life thermal runaway applications covering the battery module and

Chittipotula, Thirumalesha, Eder, Lucas, Uhl, Thomas

Wire Feed Laser Welding for Battery Pack Aluminum Enclosure Manufacture in EVs

TBMG-53210

06/01/2025

Experiment Characterization and Simulation Analysis of a Lithium-Ion Battery in Different Ambient Conditions

2025-01-5028

04/15/2025

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

Adapting Basic On-Road Data to the Heavy Heavy-Duty Diesel Truck Schedule for Guiding the Electrification of Long-Haul Truck Transport

14-14-02-0011

04/10/2025

Heavy heavy-duty diesel truck (HHDDT) drive cycles for long-haul transport trucks were developed over 20 years ago and have a renewed relevance for performance assessment and technical forecasting for transport electrification. In this study, a model was constructed from sparse data recorded from the real-life on-road activity of a small fleet of class 8 trucks by fitting them into separate driving-type segments constituting the complete HHDDT drive cycle. Detailed 1-s resolution truck fleet raw data were also available for assessing the drive cycle model. Numerical simulations were conducted to assess the model for trucks powered by both 1.0 MW charging and 300 kW-level e-Highway, accounting for elevation and seasonally varying climate conditions along the Windsor–Quebec City corridor in Canada. The modeling approach was able to estimate highway cruising speeds, energy efficiencies, and battery pack lifetimes normally within 2% of values determined using the detailed high-resolution

Darcovich, Ken, Ribberink, Hajo, Soufflet, Emilie, Lauras, Gaspard

SAE Truck & Off-Highway Engineering: April 2025

25TOFHP0404/10/2025

Designs on a diverse powertrain future Perkins details range of development efforts to power future off-highway machines, from clean-sheet diesel to hybrid-electric and hydrogen combustion. Autonomous trucking tech hits high gear While some developers of autonomous technology for commercial trucks have stalled out, there's renewed energy to deliver augmented ADAS and automated driving systems to mass production. Autonomous quarry haulage in high demand Komatsu works with Pronto to upfit a growing fleet of haul trucks operating at Komatsu's Arizona Proving Grounds and customer sites. Editorial Hydrogen is hitting some headwinds Cummins unveils new B7.2 diesel engine Artificial intelligence being schooled for mining applications FPT's 37-kWh battery pack dives into marine market Mitsubishi Fuso repurposes EV batteries for energy storage systems First drive: REE Automotive's electrifying P7 delivery chassis Kalmar launches 3rd-gen electric terminal tractor Product Briefs SPOTLIGHTS

A Low-Entry Bus Body Structure Performance under the Conditions of the New Car Assessment Program Frontal Crash Tests

09-13-02-0007

04/09/2025

The New Car Assessment Program (e.g., US NCAP and EuroNCAP) frontal crash tests are an essential part of vehicle safety evaluations, which are mandatory for the certification of civil means of transport prior to normal road exploitation. The presented research is focused on the behavior of a tubular low-entry bus frame during a frontal impact test at speeds of 32 and 56 km/h, perpendicular to a rigid wall surface. The deformation zones in the bus front and roof parts were estimated using Ansys LS-DYNA and considered such factors as the additional mass (1630 kg) of electric batteries following the replacement of a diesel engine with an electric one. This caused stabilization of the electric bus body along the transverse axis, with deviations decreased by 19.9%. Speed drop from 56 to 32 km/h showed a reduction of the front window sill deformations from 172 to 132 mm, and provided a twofold margin (159.4 m/s2) according to the 30g ThAC criterion of R80. This leads to the conclusion about

Holenko, Kostyantyn, Dykha, Aleksandr, Koda, Eugeniusz, Kernytskyy, Ivan, Royko, Yuriy, Horbay, Orest, Berezovetska, Oksana, Rys, Vasyl, Humeniuk, Ruslan, Berezovetskyi, Serhii, Chalecki, Marek

Model-Predictive Control for Heat Pump-Based Battery Thermal Management in Off-Road Autonomous Electrified Vehicles During Transient Operation

2025-01-8184

04/01/2025

The shift towards hybrid and electric powertrains in off-road vehicles aims to enhance mobility, extend range, and improve energy efficiency. However, heat pump-based battery thermal management systems in these vehicles continue to consume significant energy, impacting overall range and efficiency. Effective thermal management is essential for maintaining battery performance and safety, particularly in extreme conditions. Although high-fidelity models can capture the complex dynamics of heat pumps, real-time control within model-based optimization frameworks often depends on simplified models, which can degrade system performance. To address this, we propose a novel data-driven grey box control-oriented model (COM) that accurately represents the thermal dynamics of a vapor-compression refrigeration-based heat pump system. This COM is integrated into a model-predictive control (MPC) framework, optimizing thermal management during transient and burst-power operations of the battery pack

Sundar, Anirudh, Ghate, Atharva, Zhu, Qilun, Prucka, Robert, Ruan, Yeefeng, Figueroa-Santos, Miriam, Barron, Morgan

FPT's 37-kWh battery pack dives into marine market

25TOFHP04_07

04/01/2025

FPT Industrial formed its ePowertrain department in 2018 and since has developed a range of electric drivelines, battery packs and battery management systems (BMS) targeting on-road commercial vehicle markets. Now the company is taking its ePowertrain portfolio to the water, announcing the entry of its eBS 37 EVO battery pack to the marine sector. The new 37-kWh battery pack that FPT Industrial initially developed for light commercial vehicles and minibuses incorporates NMC 811 lithium-ion technology in 96s2p cell configuration for effective energy density (>140 Wh/kg) and depth-of-discharge (95%). The company claims the design results in reduced battery weight, at 260 kg (573 lb).

Gehm, Ryan

Effectiveness of Nail Penetration for Thermal Propagation Test in Battery Packs and Vehicles

2025-01-8128

04/01/2025

The number of electric vehicles (EVs) has significantly increased in recent years. Safety performance of EVs is at least at the same level as that of conventional vehicles. To evaluate battery safety and ensure passenger protection, several standard tests and regulations for EV batteries have been established, including IEC 62660-3, ISO 6469-1, and UN/ECE/R100 Revision 3. ISO 6469-1:2019/Amd 1 specifies thermal propagation (TP) test to evaluate battery robustness against thermal runaway (TR) in a single cell. Moreover, UN/ECE/R100 Revision 3 aims to provide sufficient egress time to protect passengers in the event of a TR in a single cell. Typically, these tests initiate TR in a cell within a battery pack using either a heater or nail. In the heater method, if the gap between cells is larger than the heater’s thickness and there are no installation constraints due to components, almost any cell can be chosen as the initiating cell. However, if the gap between cells is smaller than the

Maeda, Kiyotaka, Takahashi, Masashi

Comprehensive Vehicle Level Thermal Management Simulation Platform: Development and Applications

2025-01-8149

04/01/2025

In modern vehicles, effective thermal management is crucial for regulating temperatures across various components and sub-systems, ensuring optimal performance, efficiency, safety, and passenger comfort. As the industry shifts towards reducing carbon emissions, powertrain electrification - encompassing electric and hybrid vehicles - has emerged as a prominent trend. This transition introduces greater complexities, as the powertrain system must now precisely control the temperatures of not only traditional components but also batteries, power electronics, and motors. Typically, the performance of vehicle-level thermal management systems is fully evaluated only after physical prototypes are developed and tested, particularly during summer and winter road trials. Conducting development and validation at such a late stage in the development process significantly increases both development risks and costs. To address these challenges, a comprehensive vehicle-level thermal management

Xu, Zheng, Qiu, Jie, Lu, Yuan, Wang, Yingzhen

MDO Approach for Design Synthesis of Automotive Interior Components Subjected to Conflicting Functional Requirements

2025-01-8649

04/01/2025

Light weighting has been one of the focus areas in automotive design, which has assumed greater importance for electric vehicles due to sensitivity of electric range to mass of the vehicle and increased cost of the battery packs to meet range target with increasing mass of vehicle. Mass of vehicle interior components have significant impact of overall vehicle mass due to cascading effect. Hence mass of such components must be minimized during design synthesis, where multiple design configurations may be explored with tradeoffs with regard to meeting functional requirements which are often conflicting. Assist handle bracket is one of such components in vehicle which needs to meet mandatory safety requirement of FMVSS 201U that requires the bracket to be soft. At the same time, the bracket needs to have adequate stiffness and strength to meet perceived quality and durability requirements. These are conflicting requirements which are often difficult to meet using manual design iterations

R, Rajapandian, Koppaka, Vinaya

A Study on the Influence of Compression Pads on the Safety and Life of a Lithium-ion Cell Module

2025-01-8132

04/01/2025

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

Performance Analysis of Cooling Plates for Battery Packages Based on Biomimetic Leaf-Vein Structures

2025-01-8174

04/01/2025

The liquid-cooled plate is a critical component of the liquid-cooled system for battery packages.Battery overheating problem under charging and discharging can be solved effectively by a liquid-cooled plate with superior thermal performance.A liquid-cooled plate with a leaf-vein-like structure aiming to enhance the cooling performance was proposed and designed. A test bench of the battery pack cooling system was built,and an experimental for battery pack cooling system was carried. The maximum temperature,temperature difference of batteries inside a module and flow resistance the liquid-cooled plate were measured. A model for thermal analysis of the liquid-cooled plate was established,and the model was validated by the data obtained from the experiment.The effects of parameters such as the number of main and secondary flow channels,the inclination angle of the secondary flow channels and the inlet flow distribution on the fluid and temperature characteristics of the battery pack

Liao, Changsheng, Wang, Xihui, Zhou, Fupeng, Li, Kunyuan, Shangguan, Wen-Bin

Optimization-Oriented Adaptive Equivalent Consumption Minimization Strategy for Fuel Cell Hybrid Electric Vehicles

2025-01-8552

04/01/2025

Fuel economy and the ability to maintain the state of charge (SOC) of the battery are two key metrics for the energy management of a full-power fuel cell hybrid vehicle fitted with a small-capacity battery pack. To achieve stable maintenance of SOC and near-optimal fuel consumption, this paper proposes an adaptive equivalent consumption minimization strategy (PA-ECMS) based on power prediction. The strategy realizes demand power prediction through a hybrid deep learning model, and periodically updates the optimal equivalent factor (EF) based on the predicted power to achieve SOC convergence and ensure fuel economy. Simulation results show that the hybrid deep learning network model has high prediction accuracy with a root mean square error (RMSE) of only 0.733 m/s. Compared with the traditional ECMS based on SOC feedback, the PA-ECMS effectively maintains the battery SOC in a more reasonable range, reduces the situation of the fuel cell directly charging the power cell in the high

Gao, Xinyu, Ju, Fei, Chen, Gang, Zong, Yuhua, Wang, Liangmo

Learning-Based Cell Level Battery Digital Twin for Electric Vehicles

2025-01-8386

04/01/2025

Electric vehicles rely on accurate estimation of battery states to operate safely and efficiently. Traditionally, the state estimation is pack level and based on empirical models developed to capture the dynamics of a representative battery pack and hence falls short in accounting for cell-to-cell variations. These variations become more pronounced as the cells age within a battery pack under non-homogeneous mechanical, thermal, manufacturing, and electrical conditions. It is challenging to adapt the traditional physics-based model to changing battery dynamics in real-time. To improve the state estimation at the cell level, a data-driven approach utilizing streamed data from vehicles enabled by connectivity has been shown in this paper. While traditional data-driven approaches result in large models and require large quantities of data for training, the proposed method relies on combining the underlying physics of the electrochemical model with novel data-driven modeling techniques

Gupta, Shobhit, Hegde, Bharatkumar, Haskara, Ibrahim, Shieh, Su-Yang, Chang, Insu

Multi-Disciplinary Electric Cargo Scooter Battery Design & Simulation

2025-01-8123

04/01/2025

Evaluating the structural strength and thermal performance of electric vehicle battery packs is crucial for enhancing safety and performance. In two-wheelers, the battery pack must withstand significant vibrational forces, shocks from impacts, and accidental drops, all of which can compromise the battery's structural integrity. A failure in this regard could lead to dangerous outcomes such as short circuits, fire, or even explosions, making the robustness of the battery pack crucial for both safety and performance. Conducting physical vibration, shock, and drop tests on a battery pack is one way of proving the robustness of the design, however it is time and resource consuming leading to an iterative approach of design improvement which also demands stringent safety measures and specialized equipment’s. The present work focuses on computer-aided virtual simulations at the design stage to evaluate the structural integrity of the battery pack assembly, optimize battery design, and reduce

Shinde, Pranav, Balachandran, Karthik, Gandhi, Chaitanya, Mishra, Sonu, Deshmukh, Harish, Karve, Madhura, Chittur, Srikrishna, Das, Alok

Research on Crash Simulation and Safety of Automotive Power Battery

2025-01-8226

04/01/2025

In recent years, energy scarcity and environmental pollution have intensified globally, prompting increased research and development in new energy vehicles as countries prioritize environmental protection and energy conservation. Compared to fuel-powered vehicles, new energy vehicles have relatively larger battery volumes and weights, which can increase damage and the risk of fires and explosions in collisions. To analyze and optimize the safety performance of a specific vehicle model's battery pack, we constructed a finite element model using existing software and performed pre-processing, simulation, and analysis of modal, random vibration, and extrusion characteristics. This revealed specific damage scenarios and enabled reliability analysis under working conditions. To enhance safety and reduce mass, we parametrically modeled power pack components and optimized parameters via multi-objective genetic algorithms under three road conditions. Results indicate reduced mass and improved

Wang, Zhi

Optimizing Hybrid Powertrains for Light Duty Commercial Vehicles

2025-01-8544

04/01/2025

Battery electric vehicles (BEVs) are well-suited for many passenger vehicle applications, but high cost, short range, and long recharging times have limited their growth in commercial vehicle markets. These constraints can be eliminated with plug-in hybrid electric vehicles (PHEVs) which combine many benefits of BEVs with those of conventional vehicles. In this study, research was conducted to determine the optimal hybrid electric powertrain system for a Class 3, light duty commercial vehicle. The key technologies used in this hybrid powertrain include engine downsizing, P3 architecture hybridization, and active thermal management of aftertreatment. A vehicle cost of ownership analysis was conducted to determine the economic viability, a very important consideration for commercial vehicles. Several combinations of E-motor and battery pack sizes were evaluated during the cost analysis and the best possible configuration was determined. The resulting vehicle powertrain demonstrated ~60

Meruva, Prathik, Michlberger, Alexander, Bachu, Pruthvi, Bitsis, Daniel Christopher

Enhancement in Cabin Comfort and Overall Energy Utilization of an Electric Reverse Trike Car by Optimizing the System Layout

2025-01-8150

04/01/2025

The rapid adoption of electric vehicles (EVs), driven by stricter emissions norms, is transforming both urban and rural mobility. However, significant challenges remain, particularly concerning the charging infrastructure and battery technology. The limited availability of charging stations and the reliance on current high-energy-density cells restrict the overall effectiveness of the e-mobility ecosystem. These constraints lead to shorter vehicle ranges and longer charging times, contributing to range anxiety—one of the most critical barriers to widespread EV adoption. Adding to these challenges, auxiliary systems, especially air-conditioning (AC) systems, significantly impact energy consumption. Among all auxiliary systems, the AC system is the most energy-intensive, often exacerbating range anxiety by reducing the distance an EV can travel on a single charge. Hence, it is essential to focus on enhancing the efficiency of AC systems. This involves redefining and optimizing system

Sen, Somnath, Jadhav, Yash, Singh, Karamjeet, Sorte, Swapnil, Anwar, Md Tahir

Battery Thermal Management System for PHEV by using Air Conditioning Heater System

2025-01-8172

04/01/2025

Toyota Motor Corporation pursuing an omnidirectional strategy that includes battery electric vehicle (BEV), plug-in hybrid electric vehicle (PHEV), and fuel cell electric vehicle (FCEV) to accelerate electrification. One of the technical challenges with our xEV batteries which feature good degradation resistance and long battery life, is that regenerative braking cannot be fully effective due to the decrease in regenerative power in some situations, such as low battery temperature. For the electrified vehicles with an internal combustion engine such as PHEVs, the solution has been running the engine to increase deceleration through engine braking during coasting. PHEVs are expected to extend their cruising range and enhance EV driving experience as "Practical BEVs". While increasing battery capacity and enhancing convenience, the restrictions on EV driving opportunity due to low battery temperature may negatively affect PHEV’s appealing. As an alternative, introducing a battery heater

Hoshino, Yu

Coupled Routing and Charge Schedule Optimization of Electrified Delivery Truck Fleets: Feasibility Analyses

2025-01-8602

04/01/2025

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

Wendimagegnehu, Yared Tadesse, Ayalew, Beshah, Ivanco, Andrej, Hailemichael, Habtamu

Bio-Based Phase Change Material for Electric Vehicle Battery Thermal Management using Copper Fins: A Numerical Investigation

2025-01-8171

04/01/2025

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

Experimental and Simulation-Based Characterization of Thermal Runaway in Lithium-Ion Batteries Using Altair SimLab®

2025-01-8146

04/01/2025

Thermal runaway is a critical phenomenon in lithium batteries, characterized by a self-sustaining process due to internal chemical reactions, that is triggered once a certain temperature is reached within the cell. This event is often caused by overheating due to charge and discharge cycles and can lead to fires or explosions, posing a significant safety threat. The aim of this study is to induce thermal runaway on single cells in different ways to characterize the phenomenon and validate the simulation models present in Altair SimLab®. The work was conducted in several key phases. Initially, an experimental test was performed in a calorimeter (EV ARC HWS test) to collect temperature data of the Molicel 21700 P45B cell during thermal runaway under adiabatic conditions. These data were used for a simulation on a single cell, allowing a detailed comparison with the experimental results. Subsequently, a test was conducted on a single cell under operational conditions, overheated using a

Giuliano, Luca, Scrimieri, Luigi, Reitano, Simone, Berti Polato, Davide, Ferraris, Alessandro, Comerford, Andrew, Bhatnagar, Saakaar

Experimental Analysis of Battery Thermal Management Techniques for Electric Vehicle Lithium-Ion Batteries Using MATLAB Simulink, Simscape, and Stateflow Simulations

2025-01-8165

04/01/2025

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

Comprehensive Techno-Economic Analysis of Battery-Electric Trucks: Evaluating Battery Aging Impact for Regional Delivery Missions

2025-01-8591

04/01/2025

This study presents a detailed techno-economic assessment of battery-electric trucks, incorporating battery aging effects within a total cost of ownership (TCO) model. With increasingly stringent emissions regulations, battery-electric trucks are becoming a viable solution in Europe. However, due to uncertainty regarding their long-term cost-effectiveness and fleet operators’ profit-oriented priorities, there is an urgent need for accurate TCO assessment. Existing studies often overlook or oversimplify the impact of battery aging on overall costs. This work addresses this gap by introducing battery aging-related costs through an empirical battery degradation model, evaluated over the vehicle’s lifetime. Key aging costs include a refined estimation of battery residual value, influenced by degradation and remaining battery life, and potential battery replacement expenses. A case study on a VECTO group 9 truck used for regional delivery missions examines different payloads and battery

Costantino, Trentalessandro, Acquarone, Matteo, Miretti, Federico, Spessa, Ezio

A Data-Driven, Synthetic-Population Approach to Predict Durability Loads for Electric Vehicle Propulsion Systems

2025-01-8295

04/01/2025

Designing for the durability of motor vehicles requires accounting for various stress factors, including tractive loads, electrical loads, thermal loads, and structural loads. For electric vehicle propulsion systems, it is crucial to consider not just the magnitude and repeats of these loads but also their temporal sequence throughout the vehicle’s lifespan. The order and timing of these loads influence factors such as, charge and discharge cycles or active motor heating, which ultimately impact the damage to the propulsion system components like the cell and the motor. Traditionally, lifetime loads for durability assessments are derived from a single-user load profile consisting of a set of ‘representative’ drive cycles accounting for the cumulative damage equivalent to the real-world damage covered under warranty. This profile is typically based on historical usage data, user scenarios, and industry experience, but may not capture the diverse failure modes of the different propulsion

Ramakrishnan, Sankaran, Khapane, Prashant

Design of an Air-Liquid Coupled Thermal Management System for Battery Packs in Energy Storage Cabinets

2025-01-8168

04/01/2025

Efficient thermal management is essential for maintaining the performance and safety of large-capacity battery packs. To overcome the limitations of traditional standalone air or liquid cooling methods, which often result in inadequate cooling and uneven temperature distribution, a hybrid air-liquid cooling structure was designed. A three-dimensional model was developed, and heat transfer and fluid flow characteristics were analyzed using computational fluid dynamics (CFD) simulations. Experimental validation was carried out through discharge temperature rise tests on individual battery cells and flow resistance tests on the liquid cooling plate. The thermal performance of the hybrid system was compared to that of standalone cooling methods under various discharge rates. The results indicated that the hybrid system significantly enhanced cooling performance, reducing the maximum temperature difference by 5.54°C and 3.37°C, and the peak temperature by 11.66°C and 4.5°C, compared to air

Li, Hao, Guo, Yiming, Zhou, Fupeng, Li, Kunyuan, Shangguan, Wen-Bin

Vibration Fatigue from Random Excitation for Battery Pack Housing in an Electric Vehicle

2025-01-8233

04/01/2025

Any vehicle traveling on roads interacts with various profiles of surface roughness, which can be best characterized by randomness. The resulting random vibrations not only expose passengers to unpleasant physical shakes and noises, but also impart fatigue damage to nearly everything installed on the vehicle. In today’s robust design process, it is highly desirable to predict fatigue damage in the early design phase, in order to prevent any durability problems in the future, especially for electric vehicles. Historically, the conventional approach to tackling the problem of fatigue damage has involved cycle-counting stress or strain responses, obtained through step-by-step numeric solutions in the time-domain. However, the most effective method of predicting fatigue in random vibration lies in the frequency domain. Such a spectrum-based approach is greatly advantageous because it does not have to deal with expensive and tedious simulations involving millions of time instants of

Yang, Zane, Fouret, Charles

An Efficient CAE-Driven Weight Optimization Approach for an Existing Vehicle BIW

2025-01-8738

04/01/2025

Most of the plug-in electric vehicles (EVs) available today are retrofitted versions of the corresponding co-existing higher-volume internal combustion (IC) engine-based models. In order to make the former category of vehicles more attractive in terms of driving range, a Li-ion battery pack of substantive energy capacity (in kWh) is needed. The latter requirement is likely to add to the weight of an EV in relation to its conventional counterpart. This potential weight increase can to an extent be checked by aggressively scouring for opportunities for weight reduction of the BIW (Body-In-White) of the original platform. The current work suggests a practical and efficient CAE (Computer-Aided Engineering)-driven approach for weight optimization of the BIW of a vehicle without affecting its styling, modal frequencies and front crashworthiness performance. It is assumed that there would be no major changes to manufacturing resources associated with the current design although limited

Deb, Anindya, Zhu, Feng

CFD Modeling of Elastomeric Silicone Material Dispensing to Enable Equipment Design & Optimization for Efficient Automotive Manufacturing

2025-01-8318

04/01/2025

In the automotive industry, it is essential to consider not only how well specialty materials perform and are formulated, but also how efficiently and economically they can be applied during manufacturing. This becomes especially important during the early stages of development to prevent issues when these materials are used in new designs by automotive suppliers or manufacturers. With the rapid growth of electric vehicles (EVs), new materials are being used more frequently, and these materials may not have been as thoroughly tested as those used in traditional internal combustion engine (ICE) vehicles. Therefore, it is crucial to ensure that these materials can be applied correctly and efficiently from the start. One way to speed up the development process is through Computational Fluid Dynamics (CFD) modeling. CFD helps predict how materials will behave when dispensed, which is essential for developing the right equipment and conditions for applying these materials. Working with

Kenney, J. Andy, Delgado, Roberto, Hossain, Arif, Ng, Sze-Sze, Thomas, Ryan, Chyasnavichyus, Marius, Tsang, Chi-Wei, Hwang, Margaret, Wu, Lance, Dietsche, Laura, Mcmichael, Jonathan, Raines, Kevin, Nelson, Grant

Technology Package Optimization for Power, Cost, and Efficiency in a Dedicated Range Extender Engine for Electrified Vehicles

2025-01-8373

04/01/2025

A reemergence of manufacturer interest in range-extended electric vehicles is being driven by increasing diversification of consumer interest in low carbon-intensity technologies in the passenger vehicle and other markets. A major advantage of range-extended electric vehicles is that they curtail consumer vehicle range anxiety while maintaining a lower vehicle cost when compared with battery electric vehicles (BEV). By incorporating a small liquid-fueled internal combustion engine (ICE), the range and “refueling” time of electrified vehicles can be significantly improved while overcoming issues with cost and weight faced by long-range battery packs. Compared to ICEs designed for non-hybrid and mild hybrid vehicles, the ICE in a range-extended electric vehicle has a unique set of requirements focused on compact size, low cost, and efficient operation within a limited engine map. A Range Extender (REx) 0.9L 2-cylinder engine was selected which prioritizes these attributes in a

Peters, Nathan, Marion, Joshua, Pothuraju Subramanyam, Sai, Hoth, Alexander, Bunce, Mike

Multiphysics-Multiscale Reduced Order Model based Design Optimization of the Immersion Cooled Battery System

2025-01-8185

04/01/2025

A vital aspect of Ultra-Fast Charging (UFC) Li-Ion battery pack is its thermal management system, which impacts safety, performance, and cell longevity. Immersion cooling technology is more effective compared to indirect cold plate as heat can dissipate much quicker and has a potential to mitigate the thermal runaway propagation, improve pack overall performance, and cell life significantly. For design optimization and getting better insight, high fidelity Multiphysics-Multiscale simulations are required. Equivalent Circuit Model (ECM) based electro-thermally coupled multi-physics CFD simulations are performed to optimize the innovative busbar design, of a recently developed immersion cooled battery pack, which enables the capability to remove individual cell. Further, high fidelity 3D transient flow-thermal simulations have helped in optimizing the coolant flow direction, inlet positions, cell spacing and separator design for efficient flow distribution in the module. While high

Tyagi, Ramavtar, Negro, Sergio, Baranowski, Alex, Atluri, Prasad

An Integrated Data-Driven and Physics-Based Approach for Dynamic Operation Simulation of Electric Vehicles

2025-01-8604

04/01/2025

To address the challenges of complex operational simulation for Electric Vehicles (EVs) caused by spatial-temporal variations and driver behavior heterogeneity, this study introduces a dynamic operation simulation model that integrates both data-driven and physics-based principles, referred to as the Electric Vehicle-Dynamic Operation Simulation (EV-DOS) model. The physics-based component encompasses critical aspects such as the powertrain energy transfer module, heat transfer module, charge/discharge module, and battery state estimation module. The data-driven component derives key features and labels from second-by-second real-world vehicle driving status data and incorporates a Long Short-Term Memory (LSTM) network to develop a State-of-Health (SOH) prediction model for the EV power pack. This model framework combines the interpretability of physical modeling with the rapid simulation capabilities of data-driven techniques under dynamic operating conditions. Finally, this study

Jing, Hao, HU, Jianyao, Ouyang, Jianheng, Ou, Shiqi(Shawn)

Optimizing Cooling Circuit Lines in between Batteries and Its Thermal Management Unit

2025-01-5017

03/21/2025

Ensuring uniform coolant distribution in electric buses is crucial for battery performance, longevity, and thermal stability. This study optimizes the battery thermal management system (BTMS) for an 18-m electric bus, addressing uneven coolant flow to battery packs caused by pressure drop variations. One-dimensional (1D) simulations were chosen for their ability to quickly and efficiently analyze flow and pressure variations, providing a fast solution to optimize coolant distribution across the system. dP-Q curves for the BTMS pump and battery packs were integrated into the 1D model based on supplier data, while the flow resistances of other components (pipes, bends) were calculated using KULI software. To correct flow imbalances, pipe diameters were adjusted to increase resistance in over-cooled areas, redistributing coolant to under-cooled sections. This modification resulted in a balanced flow and improved thermal consistency, contributing to longer battery life. Validation showed

Birgül, Çağrı Emre, Meydan, Ömer

SAE TOMORROW TODAY BRIEFS - Perfecting Solid-State Battery Production

1350603/13/2025

When it comes to electrification, Honda has been focused on long-term strategy, emphasizing that the transition to EVs is a marathon, not a sprint. Recently, however, the company has been bullish on solid-state battery technology. By using a solid electrolyte instead of a liquid one, solid-state batteries offer advantages like higher energy density, reduced weight, and improved safety compared to liquid lithium-ion batteries. After perfecting the production of solid-state batteries in a lab environment, Honda is now focused on mass production. The company recently opened a test factory to produce battery packs for future EVs and to refine the production process. To learn more, Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, sat down with Chris Martin, Technological Director of Communications, to discuss Honda's advancements in solid-state battery technology and the company's future plans for electrification. For more information on the evolution of

Hineman, Marcie

A Study for Electric Vehicles Lithium-Ion Battery State Joint Estimation: Based on 2-RC Fractional Model

13-06-01-0007

03/08/2025

In the pursuit of enhancing the reliability of battery health management methods, accurate estimation of state of charge (SOC) and state of health (SOH) remains a critical challenge. This article presents a novel fusion estimation algorithm, combining a dual extended Kalman filter (EKF) with a particle filter (PF), based on a fractional-order 2-RC battery model (FOEKPF–EKF). The 2-RC fractional-order model (FOM) is first implemented to accurately depict the battery’s discharge behavior, outperforming traditional integer-order models (IOM) due to its ability to capture the cell’s intrinsic diffusion and dispersion characteristics. An adaptive genetic algorithm (AGA) is then employed for optimal parameter identification of the FOM, ensuring precise modeling. Following this, the FOEKPF–EKF algorithm is developed, leveraging the strengths of FOM, EKF, and PF to effectively handle uncertain, time-varying noise, thereby improving SOC estimation accuracy. The reliability of the proposed

Wang, Ke, Mo, Jian, Li, Dan, Zhou, Ying, Yuan, Zhangyong

Battery Pack Venting

J3325_202503 (Current)

03/05/2025

The scope of this information report is battery packs containing lithium-ion battery cells with liquid electrolyte, focusing on automotive applications like passenger cars and trucks. Considering different operating conditions as well as durability and safety requirements, some of its contents might provide guidance for other applications. The same applies to battery cell chemistries not covered in this report (e.g., sodium-ion or solid-state battery cells).

Battery Pack Venting Committee

RFID Range Extension and Priority Data Forwarding

TBMG-52638

03/01/2025

Innovators at NASA Johnson Space Center have developed an adaptable Radio Frequency Identification (RFID) system that optimizes transmission for priority data as targets move in and out of passive coverage areas. The method extends the range, and reduces data latency, of ultra-low power battery-assisted passive (BAP) RFID sensor tags, improving previously developed store-and-forward techniques to support autonomous operations in complex environments where RFID interrogator access may be strained.

Refining Control, Charging, and Battery Chemistry for CO ₂ e Savings in Heavy-Duty Off-Road Plug-In Series Hybrid

14-14-02-0009

02/27/2025

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

Goodenough, Bryant, Czarnecki, Alexander, Robinette, Darrell, Worm, Jeremy, Subert, David, Kiefer, Dylan, Heath, Matthew, Brunet, Bob, Kisul, Robert, Latendresse, Phil, Westman, John, Black, Andrew

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