• DocumentCode
    3305982
  • Title

    Fuzzy logic torque control strategy for parallel hybrid electric vehicles

  • Author

    Zhang Yi ; Liu HePing

  • Author_Institution
    State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    640
  • Lastpage
    644
  • Abstract
    In this paper, a design method of a fuzzy torque control strategy (FTCS) is presented for parallel hybrid electric vehicles (PHEVs). Considering all components as one system, the controller receives vehicle information such as the driver command, the state of charge (SOC) of the battery, and the motor/generator speed as input to determine the torque distribution between electric motor (EM) and internal combustion engine (ICE). The simulation results reveal a potential efficiency improvement in all components especially the fuel economy by comparing with the conventional logic torque control strategy (LTCS) which uses precise threshold parameters.
  • Keywords
    battery powered vehicles; control system synthesis; electric generators; electric motors; fuzzy control; hybrid electric vehicles; internal combustion engines; torque control; PHEV; battery SOC; electric motor; fuzzy logic torque control strategy; generator speed; internal combustion engine; parallel hybrid electric vehicle; state of charge; torque distribution; vehicle information; Batteries; Fuzzy logic; Hybrid electric vehicles; Ice; System-on-a-chip; Torque; Control strategy; Fuzzy logic control; Hybrid electric vehicles; Optimal control; Torque distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019610
  • Filename
    6019610