• DocumentCode
    3384024
  • Title

    A method of road condition estimation and feedback utilizing haptic pedal

  • Author

    Aoki, Jun ; Murakami, Toshiyuki

  • Author_Institution
    Dept. of Syst. Design Engineerging, Keio Univ., Yokohama
  • fYear
    2008
  • fDate
    26-28 March 2008
  • Firstpage
    777
  • Lastpage
    782
  • Abstract
    These days, electric vehicles are developing rapidly. Electric vehicles are expected to be alternative to the conventional gasoline engine vehicles and many researchers have studied motion control of electric vehicle. In this paper, a method how to feedback the road condition to the driver, which utilizes real-time road condition estimation method using sensor information of traction motor, is proposed. Fixed trace (FT) algorithm which is one of real-time identification methods and driving force observer which estimates driving force and friction coefficient are used to estimate road condition. To feedback road condition to the driver, haptic pedal system which uses a motor set in the acceleration pedal is proposed. In haptic pedal motor, disturbance observer and reaction torque observer is implemented to estimate driver input to the acceleration pedal without using force sensor. Simulation is carried out to show the validity of the proposed method.
  • Keywords
    electric vehicles; feedback; motion control; road vehicles; traction motors; electric vehicles; feedback utilization; fixed trace algorithm; gasoline engine vehicles; haptic pedal system; motion control; reaction torque observer; real-time identification methods; real-time road condition estimation method; sensor information; traction motor; Acceleration; Electric vehicles; Engines; Feedback; Force sensors; Haptic interfaces; Motion control; Petroleum; Roads; Traction motors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Motion Control, 2008. AMC '08. 10th IEEE International Workshop on
  • Conference_Location
    Trento
  • Print_ISBN
    978-1-4244-1702-5
  • Electronic_ISBN
    978-1-4244-1703-2
  • Type

    conf

  • DOI
    10.1109/AMC.2008.4516165
  • Filename
    4516165