• DocumentCode
    1027440
  • Title

    Robust control for regenerative braking of battery electric vehicle

  • Author

    Ye, Mao ; Bai, Zhiyuan ; Cao, Bin

  • Author_Institution
    Key Lab. for Highway Constr. Technol. & Equip. of Minist. of Educ., Chang´an Univ., Xian
  • Volume
    2
  • Issue
    12
  • fYear
    2008
  • fDate
    12/1/2008 12:00:00 AM
  • Firstpage
    1105
  • Lastpage
    1114
  • Abstract
    Regenerative braking is an effective way to extend the driving range of a battery electric vehicle (BEV). First, the electrical circuit and principle are depicted in detail. Then, the mathematical model is derived step by step, based on parameter perturbation. Combining the merits and defects of H 2 optimal control and H infin robust control, a robust H 2/H infin controller is put forward to guarantee both system performance and robust stability. To attenuate parameter perturbation and nonlinear uncertainty, the H infin norm of the sensitive functions from the parameter perturbation of the electrical circuit to the control input is taken as the evaluating index of robustness, and the H 2 norm of the transfer function from the external disturbance to the angular velocity of the motor as the index of linear quadratic Gaussian control. The agreement between the simulated and experimental results on BEV dasiaXJTUEV-IIdasia validated the feasibility and effectiveness of regenerative braking and showed that the proposed scheme was endowed with good control performance. Furthermore, more energy is recovered, and by the proposed method, the driving range is improved 4dasia more than that by the traditional PI controller.
  • Keywords
    Hinfin control; battery powered vehicles; linear quadratic Gaussian control; perturbation techniques; regenerative braking; robust control; transfer functions; H2 optimal control; Hinfin robust control; battery electric vehicle; linear quadratic Gaussian control; parameter perturbation; regenerative braking; robust control; transfer function;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta:20070333
  • Filename
    4708687