• DocumentCode
    2462117
  • Title

    Research on Battery Identification of Electric Vehicle Battery Management System

  • Author

    Qiang, Gu ; Xiusheng, Cheng

  • Author_Institution
    Coll. of Automotive Eng., Jilin Univ., Changchun, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    928
  • Lastpage
    931
  • Abstract
    The performance of electric vehicle depends on power battery performance to a great extent. Accurate assessment of the power battery status is the premise of power battery playing its best performance under the existing technology conditions. The order 2 RC battery model is verified by comparing simulation result with experiment data. A standard identification form which is suitable for gradient adjustment based on order 2 RC model is deduced and the simulation is also carried out to verify it.
  • Keywords
    battery management systems; battery powered vehicles; RC battery model; battery identification; battery performance; electric vehicle battery management system; Batteries; Battery management systems; Computational modeling; Discharges; Electric vehicles; Equations; Mathematical model; Battery identification; Battery management system; Electric Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.229
  • Filename
    5709241