• DocumentCode
    3535516
  • Title

    Regenerative braking control method and optimal scheme for electric motorcycle

  • Author

    Cui, Wei ; Zhang, Hang ; Ma, Yan-li ; Zhang, Yue-jin

  • Author_Institution
    Sch. of Mech. & Electron. Eng. & Autom., Shanghai Univ., Shanghai, China
  • fYear
    2011
  • fDate
    11-13 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes an optimal regenerative braking control scheme for a permanent magnet brushless DC motor of an electric motorcycle to achieve dual goals of the electric brake and the maximal power harvest in two cases of the road, downhill and flat, without any additional changes on the hardware. Based on regenerative braking of brushless DC motor in half bridge modulation mode, the relationship between average regenerative current on the DC bus and PWM duty cycle under different speeds was studied intensively from the three aspects of theoretical deduction, simulation based on Matlab/Simulink and platform experiments, and then a simple but effective scheme considering the actual application was proposed tentatively to achieve the dual goals. Since the braking kinetic energy is harvested in the form of the electric energy stored up in battery, the scheme could improve the driving range, safeness, noise preventability and cost effective of electric motorcycles.
  • Keywords
    braking; brushless DC motors; electric vehicles; motorcycles; permanent magnet motors; braking kinetic energy; electric brake; electric motorcycle; half bridge modulation mode; maximal power harvest; optimal scheme; permanent magnet brushless DC motor; regenerative braking control method; Batteries; Brushless DC motors; Motorcycles; Pulse width modulation; Roads; Half bridge modulation mode; Maximal power harvest; Permanent magnet brushless DC motor; Regenerative braking control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2011 International Conference on
  • Conference_Location
    Malaga
  • ISSN
    2155-5516
  • Print_ISBN
    978-1-4244-9845-1
  • Electronic_ISBN
    2155-5516
  • Type

    conf

  • DOI
    10.1109/PowerEng.2011.6036557
  • Filename
    6036557