• DocumentCode
    60388
  • Title

    Regenerative Braking System of Electric Vehicle Driven by Brushless DC Motor

  • Author

    Xiaohong Nian ; Fei Peng ; Hang Zhang

  • Author_Institution
    Sch. of Inf. Sci. Eng., Central South Univ., Changsha, China
  • Volume
    61
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    5798
  • Lastpage
    5808
  • Abstract
    Regenerative braking can improve energy usage efficiency and can prolong the driving distance of electric vehicles (EVs). A creative regenerative braking system (RBS) is presented in this paper. The RBS is adapted to brushless dc (BLDC) motor, and it emphasizes on the distribution of the braking force, as well as BLDC motor control. In this paper, BLDC motor control utilizes the traditional proportional-integral-derivative (PID) control, and the distribution of braking force adopts fuzzy logic control. Because the fuzzy reasoning is slower than PID control, the braking torque can be real-time controlled by PID control. In comparison to other solutions, the new solution has better performance in regard to realization, robustness, and efficiency. Then, this paper presents the simulation results by analyzing the battery state of charge, braking force, and dc bus current under the environment of MATLAB and Simulink. The simulation results show that the fuzzy logic and PID control can realize the regenerative braking and can prolong the driving distance of EVs under the condition of ensuring braking quality. At last, it is verified that the proposed method is realizable for practical implementation.
  • Keywords
    brushless DC motors; electric vehicles; energy conservation; fuzzy control; machine control; regenerative braking; three-term control; torque control; BLDC motor control; MATLAB; PID control; Simulink; braking force distribution; braking torque; brushless DC motor; electric vehicles; energy usage efficiency; fuzzy logic control; fuzzy reasoning; proportional-integral-derivative control; regenerative braking system; Batteries; Brushless DC motors; Force; Vehicles; Wheels; Brushless dc (BLDC) motor; PID control; Regenerative braking system; brushless DC motor; fuzzy control; proportional??integral??derivative (PID) control; regenerative braking system (RBS);
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2014.2300059
  • Filename
    6712129