• DocumentCode
    57083
  • Title

    Supervisory Power Management Control Algorithms for Hybrid Electric Vehicles: A Survey

  • Author

    Malikopoulos, Andreas A.

  • Author_Institution
    Energy & Transp. Sci. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
  • Volume
    15
  • Issue
    5
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    1869
  • Lastpage
    1885
  • Abstract
    The growing necessity for environmentally benign hybrid propulsion systems has led to the development of advanced power management control algorithms to maximize fuel economy and minimize pollutant emissions. This paper surveys the control algorithms for hybrid electric vehicles (HEVs) and plug-in HEVs (PHEVs) that have been reported in the literature to date. The exposition ranges from parallel, series, and power split HEVs and PHEVs and includes a classification of the algorithms in terms of their implementation and the chronological order of their appearance. Remaining challenges and potential future research directions are also discussed.
  • Keywords
    electric propulsion; fuel economy; hybrid electric vehicles; power control; environmentally benign hybrid propulsion systems; fuel economy; hybrid electric vehicles; parallel PHEVs; plug-in HEVs; pollutant emissions; power split PHEVs; series PHEVs; supervisory power management control algorithms; Batteries; Engines; Fuels; Hybrid electric vehicles; Mechanical power transmission; Optimization; Hybrid electric vehicles (HEVs); plug-in HEVs (PHEVs); supervisory power management control algorithms;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2014.2309674
  • Filename
    6781036