中国电机工程学报2024，Vol.44Issue(9)：3388-3398,中插4,12.DOI:10.13334/j.0258-8013.pcsee.230578
基于电化学阻抗谱的锂电池过充电阻抗特性与检测方法研究
Impedance Characteristics and Detection Method of Lithium-ion Battery Under Overcharge Condition Based on Electrochemical Impedance Spectroscopy
摘要
Abstract
Currently,electrochemical energy storage units and systems utilizing lithium-ion batteries are increasingly popular,however,lithium-ion batteries frequently fail due to overcharge abuse in practical use.Therefore,accurate detection of actual battery overcharge status is always a difficult and bottleneck problem in this field.In view of this,the electrochemical impedance spectroscopy technology is used to detect and study the overcharging behavior and process of single batteries.The battery overcharging simulation cycle experiment is designed and developed in the laboratory,and the relaxation time distribution method is used to analyze the impedance characteristics of lithium battery.On the basis of obtaining the impedance characteristics of the cell,the relaxation time distribution curve of the cell is analyzed.Finally,the impedance characteristic parameter is selected as the model input,and the support vector machine model is constructed to detect the battery overcharge.The results show that the polarization peak P1 in the relaxation time distribution curve corresponds to the diffusion process of lithium ions in SEI film,peak P2 corresponds to the diffusion process of electrons in the positive electrode material,and peak P3 corresponds to the redox reaction of lithium ions at the electrode interface.Overcharging results in the growth rate of ohmic resistance,SEI film resistance and charge transfer resistance of the battery are 266%,360%and 182%of the normal cycle,in which the SEI film resistance is the main factor.The impedance characteristic parameters of electrochemical impedance spectroscopy and the support vector machine model can be used to detect the overcharge of lithium batteries,and the estimated accuracy is 93.24%.It can not only master the running state of the battery,but also effectively identify the overcharge.关键词
锂离子电池/弛豫时间分布/电化学阻抗谱/过充电/支持向量机Key words
lithium-ion batteries/distribution of relaxation times/electrochemical impedance spectroscopy/overcharge/support vector machine分类
信息技术与安全科学引用本文复制引用
董明,刘王泽宇,李晓枫,贺馨仪,熊锦晨,罗阳,张崇兴,任明..基于电化学阻抗谱的锂电池过充电阻抗特性与检测方法研究[J].中国电机工程学报,2024,44(9):3388-3398,中插4,12.基金项目
西安交通大学电力设备电气绝缘国家重点实验室 2022年自主研究课题(EIPE22109). Project Supported by the 2022 Independent Research Project of the State Key Laboratory of Electrical Insulation and Power Equipment(Xi'an Jiaotong University)(EIPE22109). （EIPE22109）
