Li Liao, Xunbo Li, Da Yang, Tiezhou Wu, Jiuchun Jiang
{"title":"基于电压预测和 Z 值组合的锂离子电池故障诊断方法","authors":"Li Liao, Xunbo Li, Da Yang, Tiezhou Wu, Jiuchun Jiang","doi":"10.1080/15435075.2024.2376707","DOIUrl":null,"url":null,"abstract":"Safety accidents in new energy electric vehicles caused by lithium-ion battery failures occur frequently, and the timely and accurate diagnosis of failures in battery packs is crucial. Voltage, as ...","PeriodicalId":14000,"journal":{"name":"International Journal of Green Energy","volume":"103 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault diagnosis method for lithium-ion batteries based on the combination of voltage prediction and Z-score\",\"authors\":\"Li Liao, Xunbo Li, Da Yang, Tiezhou Wu, Jiuchun Jiang\",\"doi\":\"10.1080/15435075.2024.2376707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Safety accidents in new energy electric vehicles caused by lithium-ion battery failures occur frequently, and the timely and accurate diagnosis of failures in battery packs is crucial. Voltage, as ...\",\"PeriodicalId\":14000,\"journal\":{\"name\":\"International Journal of Green Energy\",\"volume\":\"103 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2024-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Green Energy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/15435075.2024.2376707\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Green Energy","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15435075.2024.2376707","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Fault diagnosis method for lithium-ion batteries based on the combination of voltage prediction and Z-score
Safety accidents in new energy electric vehicles caused by lithium-ion battery failures occur frequently, and the timely and accurate diagnosis of failures in battery packs is crucial. Voltage, as ...
期刊介绍：
International Journal of Green Energy shares multidisciplinary research results in the fields of energy research, energy conversion, energy management, and energy conservation, with a particular interest in advanced, environmentally friendly energy technologies. We publish research that focuses on the forms and utilizations of energy that have no, minimal, or reduced impact on environment, economy and society.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
