• DocumentCode
    1756120
  • Title

    State-of-charge estimation of the lithium-ion battery system with time-varying parameter for hybrid electric vehicles

  • Author

    Yun Zhang ; Chenghui Zhang ; Xianfu Zhang

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
  • Volume
    8
  • Issue
    3
  • fYear
    2014
  • fDate
    Feb. 13 2014
  • Firstpage
    160
  • Lastpage
    167
  • Abstract
    This study addresses the state-of-charge (SOC) estimation problem for a lithium-ion battery system with time-varying parameter. Although many methods have been proposed for the SOC estimation, the time-varying parameter problem has not been solved perfectly up to now. In this study, by introducing a novel physical meaning for that the battery terminal current is ℒ2-norm bounded and solving one linear matrix inequality, a robust H∞ filter is proposed for the first time to estimate the SOC of the lithium-ion battery of hybrid electric vehicles. The proposed method is evaluated by the sequence of urban dynamometer driving schedule test. The experimental results show that the filter proposed here is more accurate and reliable than that without considering the time-varying parameter.
  • Keywords
    H∞ filters; battery powered vehicles; hybrid electric vehicles; linear matrix inequalities; lithium; parameter estimation; secondary cells; ℒ2-norm; Li; SOC estimation problem; battery terminal current; hybrid electric vehicles; linear matrix inequality; lithium-ion battery system; robust H∞ filter; state-of-charge estimation; time-varying parameter problem; urban dynamometer driving schedule test;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2013.0082
  • Filename
    6732183