• DocumentCode
    2723396
  • Title

    Energy management strategies for a hybrid electric vehicle

  • Author

    He, Xiangning ; Parten, M. ; Maxwell, Thomas

  • Author_Institution
    Adv. Vehicle Eng. Lab., Texas Tech. Univ., Lubbock, TX, USA
  • fYear
    2005
  • fDate
    7-9 Sept. 2005
  • Firstpage
    390
  • Lastpage
    394
  • Abstract
    In this paper a fuzzy logic, rule based control strategy is proposed for a parallel, hybrid electric vehicle. The energy management optimizes engine operational efficiency while maintaining battery state of charge. Fuzzy logic shifting strategy improves the drivability and performance and avoids undesirable frequent shifting. Simulation has been conducted in a forward-looking model to implement the design. The improvements are presented with simulation results as well as the comparison with those performed using default controller.
  • Keywords
    cells (electric); energy management systems; engines; fuzzy control; hybrid electric vehicles; battery charge; energy management strategy; engine operational efficiency; forward-looking model; frequent shifting; fuzzy logic control; hybrid electric vehicle; rule based control; Electric motors; Energy management; Fuel economy; Internal combustion engines; Mixed integer linear programming; Optimal control; Predictive models; Vehicle driving; Vehicle dynamics; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion, 2005 IEEE Conference
  • Print_ISBN
    0-7803-9280-9
  • Type

    conf

  • DOI
    10.1109/VPPC.2005.1554526
  • Filename
    1554526