Electro-Thermal Modelling, Status Estimation and Thermal Management of Electric Vehicles, 2nd Edition

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 15 June 2026 | Viewed by 13

Special Issue Editors

Special Issue Information

Dear Colleagues,

We are pleased to announce the second edition of the successful Special Issue “Electro-Thermal Modelling, Status Estimation and Thermal Management of Electric Vehicles”.

With increasing pollutant emissions and the growing energy crisis, modern transportation is on the verge of a major paradigm shift. At present, electric vehicles (EVs) are seeing increasing popularity. In keeping with this trend, energy storage systems (ESSs) such as batteries have undergone significant development in the last decade. As the requirements for user experience and EV safety increase, so does the use of fast charging (FC) technologies, battery heating systems, thermal runaway suppression, and so on. These technologies require EVs to have a more advanced battery thermal management system (BTMS), which can cool or heat the battery quickly, estimate the battery SOT precisely, and extend the battery lifespan through the optimum management of battery temperature, all at a low energy cost. Innovations in battery thermal management technology are thus critical from a material and physical point of view. High-fidelity modeling, new cooling/heating structures, novel architectures of BTMS, and fault-tolerant management of ESS are also vital for the future of safe electric transportation. This vision can be facilitated by emerging technologies, such as new batteries (solid-state, lithium titanate oxide, and lithium–air sodium-based batteries, among others), advanced power electronics, intelligent management, environment-adaptive control, etc. This Special Issue seeks to highlight original research on recent innovations with unique applications in electric transportation. Topics of interest include, but are not limited to, the following:

  • Modeling, analysis, control, and management of batteries;
  • New structure for battery thermal management systems;
  • Advanced heating control methods for batteries;
  • Design methodology and control strategies for BTMSs;
  • Battery thermal runaway and methods for its suppression;
  • Application of batteries in extreme high/low temperatures.

Dr. Dan Dan
Dr. Yi Xie
Guest Editors

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Keywords

  • battery
  • thermal management
  • modeling
  • state estimation
  • BTMS structure and control

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Published Papers (1 paper)

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Research

22 pages, 1826 KB  
Article
Research on Battery Aging and User Revenue of Electric Vehicles in Vehicle-to-Grid (V2G) Scenarios
by Zhiyu Zhao, Shuaihao Kong, Bo Bo, Xuemei Li, Ling Hao, Fei Xu and Lei Chen
Electronics 2025, 14(23), 4567; https://doi.org/10.3390/electronics14234567 - 21 Nov 2025
Abstract
With the development of vehicle-to-grid (V2G) technology, electric vehicles (EVs) are increasingly participating in grid interactions. However, V2G-induced energy consumption and battery aging intensify range anxiety among users, reduce participation willingness, and decrease discharge capacity and revenue due to capacity loss. In this [...] Read more.
With the development of vehicle-to-grid (V2G) technology, electric vehicles (EVs) are increasingly participating in grid interactions. However, V2G-induced energy consumption and battery aging intensify range anxiety among users, reduce participation willingness, and decrease discharge capacity and revenue due to capacity loss. In this study, aging models for power batteries in electric passenger vehicles and electric trucks are established. A time-of-use electricity price model and an economic model considering battery aging costs are constructed. Two scenarios were established for daily use and V2G operation. The impacts of different scenarios and charging/discharging patterns on battery life and user profit are analyzed. The results indicate that the additional V2G discharging process increases the cyclic aging rate of EV batteries. Within the studied parameter ranges, the cyclic aging rate increased by 5.89% for electric passenger vehicles and 3.72% for electric trucks, respectively. Additionally, the initial V2G revenue may struggle to cover early-stage battery aging costs, but the subsequent slowdown in degradation may eventually offset these costs. With appropriate charging and discharging strategies, the maximum revenue per year reaches 18,200 CNY for electric trucks and 5600 CNY for electric passenger vehicles. This study may provide theoretical support for optimizing EV charging/discharging strategies and formulating policies in V2G scenarios. Full article
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