Simulation and experimental research on the lithium-ion battery thermal behavior considering discharge rate and ambient temperature

Thermal behavior is a key factor in lithium-ion batteries, and it is highly sensitive to discharge rate and ambient temperature. A single lithium-ion battery testing platform was constructed to obtain thermodynamic parameters of lithium-ion batteries at different discharge rates and ambient temperatures. Based on the experimental results, internal resistance and discharge capacity are selected as the optimization target parameters, and the internal resistance correlation and discharge capacity correlation considering the impact of discharge rate and ambient temperature are fitted. The optimized model was verified with experimental battery temperature. Compared with the Bernardi model, the Mean Absolute Percentage Error (MAPE) between the simulation and experimental results decreased from 11.4% to 6.0%, and the accuracy improved by 47.4%.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2024-12-29
DOI
https://doi.org/10.1177/09544070241308016
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Simulation and experimental research on the lithium-ion battery thermal behavior considering discharge rate and ambient temperature

Jing Xu, Meng Zhang, Yajie Zhu, Xiang Wang
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Advanced Battery Technologies Research
article

Simulation and experimental research on the lithium-ion battery thermal behavior considering discharge rate and ambient temperature

Jing Xu, Meng Zhang, Yajie Zhu, Xiang Wang
article en

Abstract

Thermal behavior is a key factor in lithium-ion batteries, and it is highly sensitive to discharge rate and ambient temperature. A single lithium-ion battery testing platform was constructed to obtain thermodynamic parameters of lithium-ion batteries at different discharge rates and ambient temperatures. Based on the experimental results, internal resistance and discharge capacity are selected as the optimization target parameters, and the internal resistance correlation and discharge capacity correlation considering the impact of discharge rate and ambient temperature are fitted. The optimized model was verified with experimental battery temperature. Compared with the Bernardi model, the Mean Absolute Percentage Error (MAPE) between the simulation and experimental results decreased from 11.4% to 6.0%, and the accuracy improved by 47.4%.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringVol. 240(1)
University of London (GB), Brunel University of London (GB), Yangzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 69%
Advanced Battery Technologies Research
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