• DocumentCode
    2561514
  • Title

    Control strategies for parallel hybrid vehicles

  • Author

    Salman, M. ; Schouten, Niels J. ; Kheir, Naim A.

  • Author_Institution
    Gen. Motors Res. & Dev. Lab., USA
  • Volume
    1
  • Issue
    6
  • fYear
    2000
  • fDate
    36770
  • Firstpage
    524
  • Abstract
    Presents a fuzzy logic based energy management and control strategy for parallel hybrid vehicles. Using the driver commands, the state of charge of the battery, and the motor/generator speed, a set of fuzzy logic control rules has been developed, to effectively split the power between the two powerplants: electric motor and internal combustion engine. The underlying theme of the fuzzy rules is to optimize the operational efficiency of all components, considered as one system. Simulation results are used to assess the performance of the controller. A forward-looking hybrid vehicle simulation model is used to implement the control strategies. Potential fuel economy improvement has been shown by using fuzzy logic, relative to other strategies, which maximize only the efficiency of the internal combustion engine
  • Keywords
    electric vehicles; energy management systems; fuzzy control; internal combustion engines; permanent magnet motors; power control; road vehicles; velocity control; control strategies; driver commands; forward-looking hybrid vehicle simulation model; fuzzy logic based energy management and control strategy; operational efficiency; parallel hybrid vehicles; potential fuel economy improvement; Batteries; Electric motors; Energy management; Fuel economy; Fuzzy logic; Fuzzy systems; Internal combustion engines; Power generation; Power system modeling; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2000. Proceedings of the 2000
  • Conference_Location
    Chicago, IL
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-5519-9
  • Type

    conf

  • DOI
    10.1109/ACC.2000.878955
  • Filename
    878955