The tire/road friction coefficient, μ, has a significant role in vehicle longitudinal and lateral control, and there has been associated efforts to measure or estimate the road surface condition to provide additional information for stability augmentation systems of automobiles. In this paper, a model based road friction estimation algorithm is proposed from easily measured signals such as yaw rate and wheel speed. For the development of the estimator, a low order vehicle model incorporated with simple but effective tire model. Field tests of the estimator using actual vehicle measurements show promising results.


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    Titel :

    Model-Based Road Friction Estimation


    Beteiligte:
    Shim, Taehyun (Autor:in) / Margolis, Donald (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 41 , 4 ; 249-276


    Erscheinungsdatum :

    01.04.2004




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt



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