• DocumentCode
    3279507
  • Title

    Theory-and-practice combined state assessment system of new energy vehicle

  • Author

    Shen, Yong ; Fang, Zhu

  • Author_Institution
    Sch. of Automotive Studies, Tongji Univ., Shanghai, China
  • fYear
    2011
  • fDate
    15-17 April 2011
  • Firstpage
    3770
  • Lastpage
    3773
  • Abstract
    For the pilot phase of fuel cell vehicles is concerned, it is necessary to understand real-time vehicle running state, so as to effectively avoid vehicle breakdowns caused by the security implications. Based on the study of the existed state assessment system of fuel cell vehicle, the author has used fuzzy logic inference system to improve its spare parts evaluation system in this article. By combining the theoretical value of each parameter with the measured value in the membership function and by the introduction of the concept of weights, this makes the fuel cell vehicle state assessment system more reasonable and accurate.
  • Keywords
    fuel cell vehicles; fuzzy logic; fuzzy reasoning; power engineering computing; combined state assessment system; energy vehicle; existed state assessment system; fuel cell vehicles; fuzzy logic inference system; pilot phase; real-time vehicle running state; security implications; Automotive engineering; Educational institutions; Electronics industry; Fuel cell vehicles; Intelligent vehicles; System-on-a-chip; fuzzy theory; membership function combination; state assessment; weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Information and Control Engineering (ICEICE), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8036-4
  • Type

    conf

  • DOI
    10.1109/ICEICE.2011.5777575
  • Filename
    5777575