• DocumentCode
    3052588
  • Title

    Regenerative braking algorithm for a parallel hybrid electric vehicle with continuously variable transmission

  • Author

    Feng, WANG ; Hu, ZHONG ; Xiao-jian, MAO ; Lin, YANG ; Bin, Zhuo

  • Author_Institution
    Shanghai Jiaotong Univ., Shanghai
  • fYear
    2007
  • fDate
    13-15 Dec. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A novel regenerative braking algorithm based on continuously variable transmission is proposed to make effective and maximum use of the brake energy in order to improve fuel economy. In the braking torque distribution of the novel regenerative algorithm, the regenerative torque is determined by considering the vehicle velocity, the maximal generation torque and state of the electric motor, the maximal charging power and voltage of the energy storage component. The actual driven wheels braking pressure which is reduced by the amount of the regenerative braking force is supplied from the electronic hydraulic brake system. The novel regenerative baking algorithm maximizes the actual regenerative power recuperated by the energy storage component. The simulation results show that actual regenerative power recuperation by the novel algorithm is more than the conventional one, and life-span of brake disks is also prolonged.
  • Keywords
    electric motors; electric vehicles; regenerative braking; brake energy; braking torque distribution; continuously variable transmission; electric motor; electronic hydraulic brake system; energy storage component; fuel economy; maximal generation torque; parallel hybrid electric vehicle; regenerative braking algorithm; regenerative power recuperation; vehicle velocity; Energy storage; Engines; Friction; Fuel economy; Gravity; Hybrid electric vehicles; Mechanical power transmission; Power generation; Torque; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety, 2007. ICVES. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1265-5
  • Electronic_ISBN
    978-1-4244-1266-2
  • Type

    conf

  • DOI
    10.1109/ICVES.2007.4456389
  • Filename
    4456389