文献类型：期刊文献

英文题名：Distribution of relaxation times-based analysis of aging mechanisms and prediction of heating domain for alternating current pulse self-heating lithium-ion batteries

作者：Zhuang, Zixian[1];Li, Jun[1];Luan, Weiling[1];Chen, Haofeng[1,2];Huang, Qiu-An[3];Zhang, Jiujun[3];Tu, Shan-tung[1]

机构：[1]East China Univ Sci & Technol, Sch Mech & Power Engn, Key Lab Adv Battery Syst & Safety CPCIF, Shanghai 200237, Peoples R China;[2]Univ Strathclyde, Dept Mech & Aerosp Engn, Glasgow G1 1XJ, Scotland;[3]Shanghai Univ, Inst Sustainable Energy, Coll Sci, Shanghai 200444, Peoples R China

年份：2024

卷号：623

外文期刊名：JOURNAL OF POWER SOURCES

收录：;EI(收录号：20243817053991);WOS:【SCI-EXPANDED(收录号:WOS:001403099700001)】；

基金：The authors gratefully acknowledge the support from the National Natural Science Foundation of China (52375144, 52150710540 and 52375145) and the East China University of Science and Technology, University of Strathclyde, Shanghai University during the course of this work.

语种：英文

外文关键词：Lithium-ion battery; Self-heating; AC impedance; DRT; Aging mechanism; Heating domain

摘要：Lithium-ion batteries (LIBs)-based electric vehicles (EVs) often encounter challenges such as the reduction in endurance mileage and the increase in charging time at low temperatures. To address these issues, the alternating current (AC) pulse self-heating in LIBs emerges as a pivotal method to overcome performance limitations of EVs at low temperatures. However, employing AC pulsing with high amplitude and low frequency can potentially lead to battery degradation. In this study, the state transitions and aging causes of LIBs during the self-heating are meticulously examined using the distribution of relaxation times (DRT) method. The results reveal that at an AC frequency of 50 Hz or higher, even with amplitudes up to 12 C, there is no degradation for the battery used in this study. For aged LIBs, the significant rise in impedance of solid electrolyte interphase (SEI) due to lithium plating, is the main factor driving battery aging during AC self-heating. Subsequently, an electrochemical-thermal coupling (ETC) model grounded in the degradation mechanism has been developed and experimentally validated to accurately predict the optimal heating domain for self-heating. This approach holds significant implications for the rapid selection of self-heating parameters for facilitating efficient battery performance enhancement.