{"title":"Estimation of Battery Parameters Based on Continuous-Time Model","authors":"G. Livint, M. Răţoi, V. Horga, M. Albu","doi":"10.1109/ISSCS.2007.4292800","DOIUrl":null,"url":null,"abstract":"On line estimation of the battery state of charge may be realized through on optimal Kalman Filter, based on the battery model. In this paper is presented a method to obtain physical battery parameters. The proposal method is based on coefficients estimation of the continuous-time model.","PeriodicalId":225101,"journal":{"name":"2007 International Symposium on Signals, Circuits and Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Symposium on Signals, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2007.4292800","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
On line estimation of the battery state of charge may be realized through on optimal Kalman Filter, based on the battery model. In this paper is presented a method to obtain physical battery parameters. The proposal method is based on coefficients estimation of the continuous-time model.