详细信息
A record fast ACP self-heating for lithium-ion batteries without capacity loss based on electrochemical-thermal coupling model ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:A record fast ACP self-heating for lithium-ion batteries without capacity loss based on electrochemical-thermal coupling model
作者:Zhuang, Zixian[1];Gu, Sijie[2];Luan, Weiling[1];Li, Jun[1];Chen, Haofeng[1,3]
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]Pan Asia Tech Automot Ctr Co Ltd, Shanghai 200120, Peoples R China;[3]Univ Strathclyde, Dept Mech & Aerosp Engn, Glasgow G1 1XJ, Scotland
年份:2025
卷号:393
外文期刊名:APPLIED ENERGY
收录:;EI(收录号:20252118464353);WOS:【SCI-EXPANDED(收录号:WOS:001498926800002)】;
基金:The authors gratefully acknowledge the support from the National Natural Science Foundation of China (52375144, 52130511, 52150710540 and 52375145) and the East China University of Science and Technology, University of Strathclyde during the course of this work.
语种:英文
外文关键词:Lithium-ion battery; Electrochemical-thermal coupling model; Self-heating; Bayesian optimization; Capacity loss
摘要:Lithium-ion batteries exhibit a notable decline in performance at low temperatures, including capacity reduction and impedance growth. Therefore, adopting an alternating current pulse (ACP) self-heating is a viable approach for improving battery performance at low temperatures. However, improper selection of ACP amplitude and frequency may induce capacity loss during heating. To overcome this challenge, a novel electrochemical-thermal coupling (ETC) model has been constructed by simultaneously considering the double layer and lithium plating, and combining model accelerated computation. The model can efficiently and accurately calculate capacity loss and temperature rise of batteries under high-frequency (> 10 Hz) currents. The effects of ACP self-heating on the batteries are analyzed using the model, revealing the mechanism by which the combined effects of ACP frequency and amplitude contribute to lithium plating during self-heating. Furthermore, a Bayesian optimization framework is established by combining the model to effectively identify the optimal ACP parameters at different temperatures, accompanied by the proposal of a self-heating strategy that adapts to temperature variations. The self-heating strategy can enhance the temperature rise rate while eliminating capacity loss due to lithium plating. The experimental validation illustrates that batteries can be rapidly heated from -20 degrees C to 11.1 degrees C within five minutes via the optimized strategy without capacity loss after 90 heating cycles. The proposed self-heating strategy achieves a record fast battery temperature rise compared to other studies.
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