This paper examines the application of extended Kalman filtering (EKF) and Bayesian hypothesis selection to estimating vehicle motion, tire forces, and road coefficient of friction The EKF estimates vehicle state and tire forces from an incomplete, noise corrupted measurement set without requiring a-priori knowledge of road conditions or tire forces State and tire force estimates are used in the hypothesis selection procedure along with a nominal tire model to determine the most likely road coefficient of friction The paper presents results of applying these estimation techniques to field test data The methods presented have application to both off-line construction of tire models and development of vehicle control systems


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Nonlinear Tire Force Estimation and Road Friction Identification: Field Test Results


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Ray, Laura R. (Autor:in)

    Kongress:

    International Congress & Exposition ; 1996



    Erscheinungsdatum :

    1996-02-01




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


    Nonlinear Tire Force Estimation and Road Friction Identification: Field Test Results

    Ray, L. R. / SAE | British Library Conference Proceedings | 1996


    Neural network based tire/road friction force estimation

    Matusko, J. / Petrovic, I. / Peric, N. | Tema Archiv | 2008


    TIRE ROAD FRICTION ESTIMATION

    Delanne, Y. / Do, M.-T. / M Sirdi, N. K. | British Library Conference Proceedings | 2005


    Tire-Road Friction Estimation

    Xu, Nan / Askari, Hassan / Khajepour, Amir | Springer Verlag | 2022


    Tire Road Friction Estimation

    Delanne, Y. | British Library Conference Proceedings | 2006