• DocumentCode
    1815050
  • Title

    A methodology to assess the State of Health of lithium-ion batteries based on the battery´s parameters and a Fuzzy Logic System

  • Author

    Zenati, Ali ; Desprez, Philippe ; Razik, Hubert ; Rael, Stéphane

  • Author_Institution
    Dept. de la Rech., SAFT, Bordeaux, France
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a methodology used to assess the State of Health (SOH) of lithium-ion batteries. This methodology can be readily embedded in all battery management devices including the electronics for electric vehicles. The smart estimation method is based on a Fuzzy Logic System (FLS) and two calculated battery´s parameters. Therefore it enhances the SOH value based primarily on both the calendar and the cycling life. The FLS is constructed by using only the temperature and the absolute value of the current that the battery sustains. Finally, through the experiments, obtained results for both a new and an aged battery demonstrate the accuracy of the methodology and how it can improve the battery´s lifespan.
  • Keywords
    battery management systems; battery powered vehicles; estimation theory; fuzzy logic; secondary cells; FLS; SOH value; battery lifespan; battery management device; battery parameters; cycling life; electric vehicle; fuzzy logic system; lithium-ion batteries state of health; smart estimation method; Aging; Batteries; Battery charge measurement; Electrical resistance measurement; Fuzzy logic; Resistance; Temperature measurement; Ageing; Capacity; Fuzzy Logic System; Lithium-ion batteries; Ohmic resistance; State of Health;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183268
  • Filename
    6183268