• DocumentCode
    146304
  • Title

    Range extension control system for electric vehicles based on optimal-deceleration trajectory and front-rear driving-braking force distribution considering maximization of energy regeneration

  • Author

    Harada, Shingo ; Fujimoto, Hiroshi

  • Author_Institution
    Univ. of Tokyo, Kashiwa, Japan
  • fYear
    2014
  • fDate
    14-16 March 2014
  • Firstpage
    173
  • Lastpage
    178
  • Abstract
    Electric vehicles (EVs) have become a world-widely recognized solution for future green transportation. However, the mileage per charge of EVs is short compared with that of internal combustion engine vehicles. In this paper, a maximization method of regenerative energy is proposed. The method optimizes the velocity trajectory and distribution ratio of front and rear braking force using calculus of variations. The effectiveness of the proposed method is verified by simulations and experiments.
  • Keywords
    electric vehicles; internal combustion engines; optimisation; regenerative braking; electric vehicles; energy regeneration maximization; front-rear driving-braking force distribution; green transportation; internal combustion engine vehicles; optimal-deceleration trajectory; range extension control system; velocity trajectory; Force; Mathematical model; Torque; Traction motors; Trajectory; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Motion Control (AMC),2014 IEEE 13th International Workshop on
  • Conference_Location
    Yokohama
  • Type

    conf

  • DOI
    10.1109/AMC.2014.6823277
  • Filename
    6823277