• DocumentCode
    3422273
  • Title

    Effective regenerative braking control for smooth stop of a hybrid electric bus

  • Author

    Shu, Jie ; Xiong, Weiwei ; Yin, Chengliang ; Zhang, Yong

  • Author_Institution
    Mech. Sch., Shanghai Jiao Tong Univ., Shanghai
  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Regenerative braking is an important function for a hybrid electric bus with many stop-to-go drive conditions. Yet an accurate nonlinear model for the composite brake system in HEV and a nonlinear model-based control design for a series-parallel hybrid electric bus have not been fully studied. This paper describes the brake system with regenerative braking function, and a special brake pedal is applied in this brake system. A hybrid electric bus is inherently a nonlinear system with many uncertainties. Parameter estimation design is used to improve the effect introduced by the parametric uncertainties. The backstepping-based controller design technique is introduced with the estimated parameters, and the error dynamics is separated from the parameter adaptation. Experimental data are used for the demonstration simulation. The simulated output shows a good tracking performance of the practical braking vehicle speed, and the bus can stop at a bus station by regenerative braking. The effectiveness of the proposed controller design is illustrated with the adaptive system parameters.
  • Keywords
    adaptive control; hybrid electric vehicles; parameter estimation; regenerative braking; backstepping-based controller design technique; composite brake system; hybrid electric vehicles; nonlinear model-based control design; nonlinear system; parameter estimation design; regenerative braking control; series-parallel hybrid electric bus; smooth stop; stop-to-go drive conditions; Adaptive systems; Control design; Control systems; Error correction; Hybrid electric vehicles; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Uncertainty; Vehicle dynamics; Adaptive control; Brake model; Hybrid electric vehicle; Parameter estimation; Regenerative braking;
  • 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.2008.4677695
  • Filename
    4677695