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Electro-thermal coupling model of lithium-ion batteries under external short circuit

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  • Chen, Zeyu
  • Zhang, Bo
  • Xiong, Rui
  • Shen, Weixiang
  • Yu, Quanqing

Abstract

External short circuit (ESC) fault, which can cause large current and high temperature, is one of the main reasons for battery failure. Its analysis and diagnosis remains a challenging task due to complex electro-thermal characteristics of batteries under ESCs. In this paper, ESC experiments at various temperatures are conducted to investigate the impact of temperature on battery electro-thermal behaviors. Based on the analysis of the experimental data, heat generation inside a battery caused by ESC-induced high current and side reactions is modeled. The heat distribution and diffusion are also modeled by considering battery's internal jellyroll structure. The combination of the heat generation, distribution and diffusion models forms a novel electro-thermal coupling model, which is used to predict the complex thermal and electrical properties of a battery under ESCs. The presented model is simulated and verified by the test data. The maximum root mean square error of ESC current prediction is less than 1.73A and the maximum errors of the internal temperatures and the surface temperatures are only 1.771% and 3.915%, respectively. These results verify the effectivceness of the presented model. It is expected that the presented model is useful for safety analysis, temperature prediction and fault diagnosis applications of the lithium-ion batteries under ESC.

Suggested Citation

  • Chen, Zeyu & Zhang, Bo & Xiong, Rui & Shen, Weixiang & Yu, Quanqing, 2021. "Electro-thermal coupling model of lithium-ion batteries under external short circuit," Applied Energy, Elsevier, vol. 293(C).
    • Handle: RePEc:eee:appene:v:293:y:2021:i:c:s0306261921003925
    DOI: 10.1016/j.apenergy.2021.116910
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    References listed on IDEAS

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    1. Chen, Zeyu & Xiong, Rui & Lu, Jiahuan & Li, Xinggang, 2018. "Temperature rise prediction of lithium-ion battery suffering external short circuit for all-climate electric vehicles application," Applied Energy, Elsevier, vol. 213(C), pages 375-383.
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    5. Xiong, Rui & Sun, Wanzhou & Yu, Quanqing & Sun, Fengchun, 2020. "Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles," Applied Energy, Elsevier, vol. 279(C).
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    2. Shi, Haotian & Wang, Shunli & Fernandez, Carlos & Yu, Chunmei & Xu, Wenhua & Dablu, Bobobee Etse & Wang, Liping, 2022. "Improved multi-time scale lumped thermoelectric coupling modeling and parameter dispersion evaluation of lithium-ion batteries," Applied Energy, Elsevier, vol. 324(C).
    3. Yuxin Zhou & Zhengkun Wang & Zongfa Xie & Yanan Wang, 2022. "Parametric Investigation on the Performance of a Battery Thermal Management System with Immersion Cooling," Energies, MDPI, vol. 15(7), pages 1-21, March.
    4. Lin, Xiang-Wei & Li, Yu-Bai & Wu, Wei-Tao & Zhou, Zhi-Fu & Chen, Bin, 2024. "Advances on two-phase heat transfer for lithium-ion battery thermal management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    5. Wang, Chao & Zhang, Xu & Cui, Yixiu & He, Ke & Cao, Yong & Liu, Xiaojiang & Zeng, Chao, 2022. "A system-level thermal-electrochemical coupled model for evaluating the activation process of thermal batteries," Applied Energy, Elsevier, vol. 328(C).
    6. Zhang, Yi & Zhang, E & Guo, Zhenlin & He, Xin & He, Yaling & Li, Haomiao & Jiang, Kai & Zhou, Min, 2023. "Numerical study on thermal characteristics under external short circuit for Li||Bi liquid metal batteries," Applied Energy, Elsevier, vol. 348(C).

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