{"title":"Model-based health condition monitoring method for multi-cell series-connected battery pack","authors":"R. Xiong, Fengchun Sun, Hongwen He","doi":"10.1109/ITEC.2016.7520202","DOIUrl":null,"url":null,"abstract":"This paper has made efforts to investigate the two key parameters for indicating battery state-of-health. (1) A series dual adaptive extended Kalman filter algorithm has been proposed. (2) An online model-based capacity and resistance estimation scheme has been proposed, which estimates the uncertainty parameters of capacity and resistance to evaluate the health status of battery pack. The result indicates that the prediction inaccuracies of battery are less than 1%. It is helpful for monitoring the health status and safeguarding the safety application of battery system used in electric vehicles.","PeriodicalId":280676,"journal":{"name":"2016 IEEE Transportation Electrification Conference and Expo (ITEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Transportation Electrification Conference and Expo (ITEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITEC.2016.7520202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper has made efforts to investigate the two key parameters for indicating battery state-of-health. (1) A series dual adaptive extended Kalman filter algorithm has been proposed. (2) An online model-based capacity and resistance estimation scheme has been proposed, which estimates the uncertainty parameters of capacity and resistance to evaluate the health status of battery pack. The result indicates that the prediction inaccuracies of battery are less than 1%. It is helpful for monitoring the health status and safeguarding the safety application of battery system used in electric vehicles.
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
