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作 者:Yuxuan Li Lihua Jiang Ningjie Zhang Zesen Wei Wenxin Mei Qiangling Duan Jinhua Sun Qingsong Wang
出 处:《Journal of Energy Chemistry》2024年第5期74-86,共13页能源化学(英文版)
基 金:supported by the National Natural Science Foundation of China(U2033204,51976209);the Natural Science Foundation of Hefei(2022019);supported by Youth Innovative Promotion Association CAS(Y201768)。
摘 要:Early warning of thermal runaway(TR)of lithium-ion batteries(LIBs)is a significant challenge in current application scenarios.Timely and effective TR early warning technology is urgently required considering the current fire safety situation of LIBs.In this work,we report an early warning method of TR with online electrochemical impedance spectroscopy(EIS)monitoring,which overcomes the shortcomings of warning methods based on traditional signals such as temperature,gas,and pressure with obvious delay and high cost.With in-situ data acquisition through accelerating rate calorimeter(ARC)-EIS test,the crucial features of TR were extracted using the RReliefF algorithm.TR mechanisms corresponding to the features at specific frequencies were analyzed.Finally,a three-level warning strategy for single battery,series module,and parallel module was formulated,which can successfully send out an early warning signal ahead of the self-heating temperature of battery under thermal abuse condition.The technology can provide a reliable basis for the timely intervention of battery thermal management and fire protection systems and is expected to be applied to electric vehicles and energy storage devices to realize early warning and improve battery safety.
关 键 词:Online EIS measurement Lithium-ion batterysafety Multistage thermal runaway early warning SENSITIVITYANALYSIS
分 类 号:TM912[电气工程—电力电子与电力传动]
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