• DocumentCode
    1941038
  • Title

    State of the art power management algorithms for hybrid electric vehicles

  • Author

    Gurkaynak, Yusuf ; Khaligh, Alireza ; Emadi, Ali

  • Author_Institution
    Electr. Power & Power Electron. Center, Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2009
  • fDate
    7-10 Sept. 2009
  • Firstpage
    388
  • Lastpage
    394
  • Abstract
    Hybrid electric vehicles are proposed to reduce the fuel consumption and emission while sustaining performance of the vehicle. The key point to use the full potential of hybridization is designing a proper supervisory control strategy, which manages how to split the demanded power between energy sources in the most efficient and optimum way. This paper compares and classifies control strategies according to their dynamic structure, complexness, applicability and performance.
  • Keywords
    hybrid electric vehicles; optimal control; road vehicles; fuel consumption; hybrid electric vehicles; power management algorithms; supervisory control strategy; Automotive engineering; Control systems; Diesel engines; Energy management; Fuels; Hybrid electric vehicles; Ice; Internal combustion engines; Propulsion; Topology; control strategies; hybrid electric vehicles; optimization based control; rule based control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    978-1-4244-2600-3
  • Electronic_ISBN
    978-1-4244-2601-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2009.5289823
  • Filename
    5289823