电子科技2026，Vol.39Issue(6)：32-39,8.DOI:10.16180/j.cnki.issn1007-7820.2026.06.004
基于VMD的电动汽车电池组多故障在线诊断策略
Online Multiple-Fault Diagnosis Strategy of Electric Vehicle Battery Packs Based on VMD
摘要
Abstract
Lithium-ion batteries have become an ideal power source for electric vehicles due to their high energy density,long cycle life,and no memory effect.However,the complex operating conditions of vehicles and the sus-ceptibility of battery packs to failure have a negative impact on the safe operation of electric vehicles.In view of the problem of fault diversity of existing battery packs,a multi-fault diagnosis method for battery packs based on the VMD(Variational Mode Decomposition)algorithm is proposed.The characteristics of battery voltage signal changes in bat-tery packs under different types of faults are analyzed,and the cross-voltage measurement circuits are used to con-struct unique fault features for different types of faults.Due to the fact that the fault features are not obvious,the VMD algorithm is adopted to extract the low-frequency components of the voltage signal,and the feature extraction method based on Manhattan distance is used to extract the fault features,and an online diagnosis scheme is designed.The experimental results show that the proposed method can quickly and accurately identify four types of faults in bat-tery packs and has certain noise robustness.关键词
电动汽车/锂离子电池/多故障诊断/变分模态分解/交叉电压测量电路/曼哈顿距离/低频分量/在线诊断方案Key words
electric vehicles/lithium-ion battery/multiple fault diagnosis/variational mode decomposition/cross voltage measurement circuit/Manhattan distance/low-frequency component/online diagnostic strategy分类
信息技术与安全科学引用本文复制引用
周少磊,王立成,杨焱琦..基于VMD的电动汽车电池组多故障在线诊断策略[J].电子科技,2026,39(6):32-39,8.基金项目
国家自然科学基金(62003213)National Natural Science Foundation of China(62003213) （62003213）
