• DocumentCode
    1128858
  • Title

    Control Strategies for Hybrid Electric Vehicles: Evolution, Classification, Comparison, and Future Trends

  • Author

    Salmasi, Farzad Rajaei

  • Author_Institution
    Tehran Univ., Tehran
  • Volume
    56
  • Issue
    5
  • fYear
    2007
  • Firstpage
    2393
  • Lastpage
    2404
  • Abstract
    As hybrid electric vehicles (HEVs) are gaining more popularity in the market, the rule of the energy management system in the hybrid drivetrain is escalating. This paper classifies and extensively overviews the state-of-the-art control strategies for HEVs. The pros and cons of each approach are discussed. From different perspectives, real-time solutions are qualitatively compared. Finally, a couple of important issues that should be addressed in future development of control strategies are suggested. The benefits of this paper are the following: (1) laying down a foundation for future improvements, (2) establishing a basis for comparing available methods, and (3) helping devoted researchers choose the right track, while avoiding doing that which has already been done.
  • Keywords
    energy management systems; fuzzy control; hybrid electric vehicles; optimisation; technological forecasting; control strategies; energy management system; fuzzy logic controller; hybrid drivetrain; hybrid electric vehicles; optimization-based methods; rule-based methods; Acceleration; Automotive engineering; Centralized control; Energy management; Fuel cell vehicles; Fuzzy systems; Global Positioning System; Hybrid electric vehicles; Internal combustion engines; Vehicle driving; Control systems; fuzzy rule base (FRB); global optimization; hybrid vehicles;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2007.899933
  • Filename
    4305534