• DocumentCode
    136836
  • Title

    Control research for hybrid compound braking based on an uncertainty predictive model

  • Author

    Wei Liu ; Hongwen He ; Hongqiang Guo ; Fengchun Sun

  • Author_Institution
    Nat. Eng. Lab. for Electr. Vehicles, Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    For an EV with double driving motors, an uncertainty predictive model was proposed for the hybrid compound braking control system, which has the simple structural characteristics as the parallel system and the controlling advantages as the series system. The distribution coefficients of the braking force were optimized off-line by uncertainty analysis. Then the response surfaces of the distribution coefficients related to the vehicle state were established. The simulation results show that the required braking severity can be well tracked and high performance and reliability of braking stability and regenerative efficiency were obtained.
  • Keywords
    electric vehicles; predictive control; regenerative braking; uncertain systems; EV; braking force; braking stability; distribution coefficients; double driving motors; hybrid compound braking control system; parallel system; regenerative efficiency; uncertainty analysis; uncertainty predictive model; Compounds; Force; Predictive models; System-on-chip; Torque; Uncertainty; Vehicles; braking stability; composite braking; regenerative efficiency; uncertainty predictive model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6941108
  • Filename
    6941108