• DocumentCode
    2436288
  • Title

    Tire-road friction estimation for enhancing the autonomy of wheel-driven vehicles

  • Author

    Kim, Chang-Sei ; Hong, Keum-Shik ; Yoo, Wan-Suk ; Park, Yong-Woon

  • Author_Institution
    Pusan Nat. Univ., Busan
  • fYear
    2007
  • fDate
    17-20 Oct. 2007
  • Firstpage
    273
  • Lastpage
    277
  • Abstract
    For improving the stability of vehicles, especially for autonomous driving, various techniques including vehicle dynamic control, traction control, and anti-lock braking system have been developed and are being adopted. To accomplish these systems, the most important factor is to acquire the tire-road friction characteristics. The majority of tire-road friction estimation algorithms are based on the tire slip ratio and the tracking force obtained by a tire model. However, as the slip ratio and tracking force by a tire model cannot be measured directly and be defined strictly, additional estimation algorithm to get these values are required. Therefore, in this paper, in the view of traditional friction definition, we propose a tire-road friction estimation method that uses the traditional friction model. The real car experimental result shows good performance of the proposed methodology.
  • Keywords
    braking; friction; road vehicles; stability; tracking; traction; anti-lock braking system; autonomous driving system; stability; tire slip ratio; tire-road friction estimation; tracking force; traction control; vehicle dynamic control; wheel-driven vehicle; Control systems; Differential equations; Force measurement; Friction; Mobile robots; Remotely operated vehicles; Roads; Tires; Vehicle driving; Vehicle dynamics; Autonomous Vehicle; Friction Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems, 2007. ICCAS '07. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-89-950038-6-2
  • Electronic_ISBN
    978-89-950038-6-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2007.4406921
  • Filename
    4406921