文献类型：期刊文献

英文题名：Thermal runaway behaviors of Li-ion batteries after low temperature aging: Experimental study and predictive modeling

作者：Wu, Senming[1,2];Wang, Chang[1];Luan, Weiling[1];Zhang, Yulong[1];Chen, Ying[1];Chen, Haofeng[1,2]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Key Lab Power Battery Syst & Safety CPCIF, Shanghai 200237, Peoples R China;[2]Univ Strathclyde, Dept Mech & Aerosp Engn, Glasgow City G1 1XJ, Scotland

年份：2023

卷号：66

外文期刊名：JOURNAL OF ENERGY STORAGE

收录：;EI(收录号：20231814045322);WOS:【SCI-EXPANDED(收录号:WOS:000998876800001)】；

基金：The authors gratefully acknowledge the support from the China Scholarship Council, the National Natural Science Foundation of China (52150710540 and 52205153) , the foundation by China Postdoctoral Science Foundation (2022M721138) , the East China University of Science and Technology, and the University of Strathclyde during the course of this work.

语种：英文

外文关键词：Li-ion battery; Thermal runaway; Low temperature aging; Whole life cycle; Predictive model

摘要：Li-ion batteries are widely used as a substitute for fossil energy in various fields. However, fire and explosion accidents caused by thermal runaway have attracted widespread attention. Studies have shown that lithium plating of Li-ion batteries during low-temperature aging can seriously affect their thermal stability. Still, there is no corresponding mathematical model to analyze and predict the thermal runaway behavior of batteries during the whole life cycle after low-temperature aging. In this paper, the evolution of thermal runaway behaviors and kinetics caused by the low-temperature aging is analyzed by the stage division and analysis of the thermal runaway process based on the adiabatic thermal runaway tests. The results show that the low-temperature aging significantly affects the thermal kinetics of the battery and accelerates the thermal runaway process. By inves-tigating several groups of experimental results, a prediction method for the kinetic parameters of side reactions of batteries with arbitrary state of health (SOH) is proposed, and a numerical model for the prediction of thermal runaway during the whole life cycle is established based on the reaction kinetics. Furthermore, the proposed model is experimentally verified to accurately predict the thermal runaway behaviors of Li-ion batteries during the whole life cycle after low-temperature aging.