• DocumentCode
    3418919
  • Title

    Control strategy optimization for hybrid electric vehicle based on DIRECT algorithm

  • Author

    Zhang, Yaming ; Sun, Fengchun ; He, Hongwen

  • Author_Institution
    Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing
  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A new method based on DIRECT algorithm was presented for parametric optimization of control strategy for hybrid electric vehicles. A logic threshold control strategy (LTCS) implemented in an existing hybrid vehicle was considered. A set of parameters was adopted in the LTCS to command the operation of the vehicle. The optimal adjustment of these parameters was formulated as a constrained nonlinear programming problem with an objective function minimizing fuel consumption. A DIRECT algorithm was proposed and applied to find the optimal set of parameters. Simulation results demonstrate effectiveness of the proposed method which can be used for off-line parametric optimization and thus shorten the time of controller calibration in the real vehicle.
  • Keywords
    hybrid electric vehicles; nonlinear programming; DIRECT algorithm; LTCS; constrained nonlinear programming problem; control strategy optimization; dividing rectangle algorithm; fuel consumption minimization; hybrid electric vehicle; logic threshold control strategy; Automotive engineering; Batteries; Diesel engines; Fuels; Hybrid electric vehicles; Hybrid power systems; Mechanical power transmission; Optimization methods; Power engineering and energy; Propulsion; Control Strategy; Dividing Rectangle (DIRECT) Algorithm; Hybrid Electric Vehicle (HEV); Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-1848-0
  • Electronic_ISBN
    978-1-4244-1849-7
  • Type

    conf

  • DOI
    10.1109/VPPC.2008.4677517
  • Filename
    4677517