A new approach of vehicle longitudinal velocity estimation with adaptive Kalman Filter is proposed in this paper. An EV with four in-wheel drive motors is chosen as the study object. Adaptive Kalman Filter is used to estimate the longitudinal velocity and road ramp angle under unknown road conditions by measuring the wheel speeds and vehicle acceleration. Simulation of the algorithm is carried out to find out desired covariance matrices of Kalman Filter.


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    Titel :

    Vehicle Longitudinal Velocity Estimation with Adaptive Kalman Filter


    Beteiligte:
    Gao, Yunlong (Autor:in) / Feng, Yuan (Autor:in) / Xiong, Lu (Autor:in)


    Erscheinungsdatum :

    2012


    Format / Umfang :

    9 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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