中北大学学报（自然科学版）2025，Vol.46Issue(3)：306-315,10.DOI:10.62756/jnuc.issn.1673-3193.2024.06.0010
基于SEI膜增厚的锂电池老化-电化学-热模型与验证
Modeling and Validation of Lithium Battery Aging-Electrochemical-Thermal Behavior Based on SEI Film Thickening
摘要
Abstract
In the long-term use of lithium-ion batteries,the formation and thickening of the solid electro-lyte interphase(SEI)film are key factors that lead to performance degradation and shortened lifespan.To accurately assess the health state and thermal behavior of lithium batteries,this paper proposed an aging-electrochemical-thermal coupling model based on the impact of SEI thickening.Firstly,the model,based on classical electrochemical equations,battery heat generation theory,and energy conservation equations,considered the internal resistance increase and capacity decay caused by SEI thickening to establish an electrochemical-thermal coupling model for lithium-ion batteries.Secondly,we modified the model param-eters using the Arrhenius equation and conduct joint simulations using genetic algorithms combined with COMSOL and MATLAB to constructed a double-layer radial model for precise identification of the ther-mal physical parameters of the battery.Finally,different rate charge-discharge experiments were con-ducted at 25℃ to obtain voltage-capacity characteristic curves and temperature rise curves,which were compared with the model simulation results.The experimental results show that the aging-electrochemical-thermal coupling model can effectively predict the battery's health state and thermal char-acteristics at various discharge rates.It can accurately assess the capacity degradation and health status,as well as predict the capacity degradation trajectory with a maximum absolute error of only 2.616％of capacity retention rate,validating the model's accuracy and reliability.This provides a solid theoretical foundation for the development of battery management systems for electric vehicles.关键词
锂离子电池/电化学热耦合模型/SEI膜/遗传算法Key words
lithium-ion battery/electrochemical-thermal coupled model/SEI film/genetic algorithm分类
动力与电气工程引用本文复制引用
李琪,董小瑞,李晓杰..基于SEI膜增厚的锂电池老化-电化学-热模型与验证[J].中北大学学报（自然科学版）,2025,46(3):306-315,10.基金项目
高端装备可靠性技术山西省重点实验室开放研究基金(GDZBKKX-10) （GDZBKKX-10）
