Critical Review of Temperature Prediction for Lithium-Ion Batteries in Electric Vehicles

This paper reviews recent advancements in predicting the temperature of lithium-ion batteries in electric vehicles. As environmental and energy concerns grow, the development of new energy vehicles, particularly electric vehicles, has become a significant trend. Lithium-ion batteries, as the core component of electric vehicles, have their performance and safety significantly impacted by temperature. This paper begins by introducing the fundamental components and operating principles of lithium-ion batteries, followed by an analysis of how temperature affects battery performance and safety. Next, the methods for measuring and predicting battery temperature are categorized and discussed, including model-based methods, data-driven methods, and hybrid approaches that combine both. Finally, the paper summarizes the application of temperature prediction in a BMS and provides an outlook on future research directions.

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Publication Details

Journal
Batteries
Published
2024-11-29
DOI
https://doi.org/10.3390/batteries10120421
Citations
30
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
6.10
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Critical Review of Temperature Prediction for Lithium-Ion Batteries in Electric Vehicles

Yuan Mao, Yajie Jiang, Yun Yang, Junting Bao et al.
30 citations
Batteries
Advanced Battery Technologies Research
6.10
article

Critical Review of Temperature Prediction for Lithium-Ion Batteries in Electric Vehicles

Yuan Mao, Yajie Jiang, Yun Yang, Junting Bao, Hao Xu, Youbing Zhang
article en
30 citations

Abstract

This paper reviews recent advancements in predicting the temperature of lithium-ion batteries in electric vehicles. As environmental and energy concerns grow, the development of new energy vehicles, particularly electric vehicles, has become a significant trend. Lithium-ion batteries, as the core component of electric vehicles, have their performance and safety significantly impacted by temperature. This paper begins by introducing the fundamental components and operating principles of lithium-ion batteries, followed by an analysis of how temperature affects battery performance and safety. Next, the methods for measuring and predicting battery temperature are categorized and discussed, including model-based methods, data-driven methods, and hybrid approaches that combine both. Finally, the paper summarizes the application of temperature prediction in a BMS and provides an outlook on future research directions.

BatteriesVol. 10(12)
Nanyang Technological University (SG), Zhejiang University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 3%
Advanced Battery Technologies Research
6.10
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