Vehicle steering dynamics depends on the tire lateral characteristics. In particular, the relationship between the tire lateral force and the slip angle is a crucial element in the analysis and design of vehicle lateral dynamics and controls. This relationship is generally obtained through laboratory tests, but the laboratory test procedures have two major limitations: (I) the simulated road surface may not represent certain real road conditions; (II) the test environment may not sufficiently mimic the tire characteristics under realistic operating conditions, such as large tire-vehicle interactions under emergency conditions or the changes of suspension and/or steering geometry. It is advantageous to develop an identification approach for tire lateral characteristics using a minimum set of on-board vehicle sensors when the tires are operated in a real configuration and environment. An ideal identification procedure should be insensitive to noise and predict the vehicle lateral behavior accurately. In this paper, a pointwise updating approach with a Kalman filter using a nonlinear vehicle model is designed to address this problem. The effectiveness of the approach is demonstrated using tires with and without snow chains.


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    Titel :

    Nonlinear tire lateral force versus slip angle curve identification


    Beteiligte:
    Koo, Shiang-Lung (Autor:in) / Tan, Han-Shue (Autor:in) / Tomizuka, M. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2004


    Format / Umfang :

    6 Seiten, 7 Quellen



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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