• DocumentCode
    1794456
  • Title

    Battery Capacity Estimation and Health Management of an Electric Vehicle Fleet

  • Author

    Barre, Anthony ; Suard, Frederic ; Gerard, Mathias ; Riu, Delphine

  • Author_Institution
    LIST, CEA, Gif-sur-Yvette, France
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper addresses the challenge of monitoring battery in fleets of electric vehicles (EV). The goal is to identify the different EV utilization modes, during real use, and to highlight the constraining conditions to manage battery health evolution. The other part of this study aims to build a battery capacity estimation model, permitting to estimate the remaining capacity of an EV during its real use. Finally, is explained a strategy to improve capacity estimates, based on the identified EV utilization modes.
  • Keywords
    battery management systems; battery powered vehicles; estimation theory; secondary cells; EV utilization modes; battery capacity estimation improvement; battery health evolution management; battery monitoring; constraining conditions; electric vehicle fleet; lithium-ion batteries; Batteries; Battery charge measurement; Electric vehicles; Estimation error; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2014 IEEE
  • Conference_Location
    Coimbra
  • Type

    conf

  • DOI
    10.1109/VPPC.2014.7007025
  • Filename
    7007025