首页|Early warning method for thermal runaway of lithium-ion batteries under thermal abuse condition based on online electrochemical impedance monitoring

Early warning method for thermal runaway of lithium-ion batteries under thermal abuse condition based on online electrochemical impedance monitoring

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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 warn-ing 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 pro-vide a reliable basis for the timely intervention of battery thermal management and fire protection sys-tems and is expected to be applied to electric vehicles and energy storage devices to realize early warning and improve battery safety.

Online EIS measurementLithium-ion battery safetyMultistage thermal runaway early warningSensitivity analysis

Yuxuan Li、Lihua Jiang、Ningjie Zhang、Zesen Wei、Wenxin Mei、Qiangling Duan、Jinhua Sun、Qingsong Wang

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State Key Laboratory of Fire Science,University of Science and Technology of China,Anhui 230026,Hefei,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of HefeiYouth Innovative Promotion Association CAS

U2033204519762092022019Y201768

2024

10.1016/j.jechem.2023.12.049

能源化学
中国科学院大连化学物理研究所 中国科学院成都有机化学研究所

能源化学

CSTPCDEI
影响因子：0.654
ISSN：2095-4956
年,卷(期)：2024.92(5)