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  • 标题:Estimating the State of Charge of Lithium-ion Battery based on Sliding Mode Observer
  • 本地全文:下载
  • 作者:Yan Ma ; Yan Ma ; Bingsi Li
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:11
  • 页码:54-61
  • DOI:10.1016/j.ifacol.2016.08.009
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Abstract Battery management system (BMS) requires an accurate prediction of state of charge (SOC) of electric vehicles (EVs). In this paper, a first-order RC network equivalent circuit battery model with the hysteresis characteristic of Lithium-ion battery is built up. The parameters of battery equivalent circuit model (BECM) is identified. And then, we design a sliding mode observer (SMO) to estimate SOC of batteries in EVs. The robustness and observability of the SMO of SOC estimation are proved. Matlab/Simulink and AMESim co-simulation method is adopted to evaluate the performance of the presented algorithm. The simulation results show that the SOC estimation error is less than 3%.
  • 关键词:KeywordsLithium-ion batteryhysteresisSOCSMOAMESim
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