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  • 标题:State of Charge estimation via extended Kalman filter designed for electrochemical equations
  • 本地全文:下载
  • 作者:Sepideh Afshar ; Sepideh Afshar ; Kirsten Morris
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:2152-2157
  • DOI:10.1016/j.ifacol.2017.08.269
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractLithium ion batteries are used to store energy in electric vehicles. Physical models based on electro-chemistry are partial differential equations coupled to algebraic equations. The state of the battery, and most importantly, the state of charge (SOC) needs to be estimated using limited measurements. In this paper, an extended Kalman filter (EKF) is developed using the electro-chemical model. Some simplifications to the full electro-chemical model are made to facilitate the estimation. The performance of the observer is demonstrated through comparison of simulation results with experimental data.
  • 关键词:KeywordsExtended Kalman filterdistributed parameter systemsstate of charge estimation
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