• DocumentCode
    1920788
  • Title

    On-line adaptive tuning of a lithium-ion battery cell state of charge observer

  • Author

    Gagneur, Laurent ; Forgez, Christophe ; Franco, Ana Lucia Driemeyer

  • Author_Institution
    Renault, Guyancourt, France
  • fYear
    2013
  • fDate
    15-19 Sept. 2013
  • Firstpage
    307
  • Lastpage
    314
  • Abstract
    This paper deals with the adaptive tuning of a state of charge observer for a lithium ion battery cell, based on an extended Kalman filter and on the main electrochemical phenomena modeling. A high level parameter to tune the observer is introduced and used to reduce the influence of modeling errors on the state of charge estimate.
  • Keywords
    Kalman filters; lithium; nonlinear filters; observers; secondary cells; Li; electrochemical phenomena modeling; extended Kalman filter; lithium-ion battery cell state of charge observer; online adaptive tuning; state of charge estimation modeling errors; Adaptation models; Batteries; Kalman filters; Observability; Observers; System-on-chip; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ECCE.2013.6646716
  • Filename
    6646716
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1920788