Chen Kunlong, Jiang Jiuchun, Zheng Fangdan, Sun Bing-xiang, Zhang Yanru
{"title":"SOH estimation for lithium-ion batteries: A cointegration and error correction approach","authors":"Chen Kunlong, Jiang Jiuchun, Zheng Fangdan, Sun Bing-xiang, Zhang Yanru","doi":"10.1109/ICPHM.2016.7542828","DOIUrl":null,"url":null,"abstract":"In this paper, the degradation of battery SOH is modeled using error correction approach. The duration of charging in constant current mode and constant voltage mode along with the impedance are used to account for the observed degradation trend by proving that there exists a cointegration relationship, which can ensure a stable long-run equilibrium relationship between them, and then use this relationship to prediction the future SOH. The experiment approves that the error correction model has better performance compared to traditional autoregressive integrated moving average model.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPHM.2016.7542828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
In this paper, the degradation of battery SOH is modeled using error correction approach. The duration of charging in constant current mode and constant voltage mode along with the impedance are used to account for the observed degradation trend by proving that there exists a cointegration relationship, which can ensure a stable long-run equilibrium relationship between them, and then use this relationship to prediction the future SOH. The experiment approves that the error correction model has better performance compared to traditional autoregressive integrated moving average model.