Coupling effect of state of charge and loading rate on internal short circuit of lithium-ion batteries induced by mechanical abuse
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DOI: 10.1016/j.apenergy.2024.124138
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- Yu, Quanqing & Nie, Yuwei & Guo, Shanshan & Li, Junfu & Zhang, Chengming, 2024. "Machine learning enables rapid state of health estimation of each cell within battery pack," Applied Energy, Elsevier, vol. 375(C).
- Wang, Lubing & Li, Jianping & Chen, Jiaying & Duan, Xudong & Li, Binqi & Li, Jiani, 2023. "Revealing the internal short circuit mechanisms in lithium-ion batteries upon dynamic loading based on multiphysics simulation," Applied Energy, Elsevier, vol. 351(C).
- Hong, Jichao & Wang, Zhenpo & Qu, Changhui & Zhou, Yangjie & Shan, Tongxin & Zhang, Jinghan & Hou, Yankai, 2022. "Investigation on overcharge-caused thermal runaway of lithium-ion batteries in real-world electric vehicles," Applied Energy, Elsevier, vol. 321(C).
- Jia, Yikai & Yin, Sha & Liu, Binghe & Zhao, Hui & Yu, Huili & Li, Jie & Xu, Jun, 2019. "Unlocking the coupling mechanical-electrochemical behavior of lithium-ion battery upon dynamic mechanical loading," Energy, Elsevier, vol. 166(C), pages 951-960.
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- Yu, Quanqing & Nie, Yuwei & Guo, Shanshan & Li, Junfu & Zhang, Chengming, 2024. "Machine learning enables rapid state of health estimation of each cell within battery pack," Applied Energy, Elsevier, vol. 375(C).
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Keywords
Lithium-ion battery; Mechanically safe; Internal short circuit; State of charge; Loading rate; Coupling effect;All these keywords.
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