Abstract The sideslip angle is the most crucial state variable in the stability control system for vehicles, particularly in the electric drive vehicle field. But recently, there is no other way that could obtain the sideslip angle directly with low cost. Due to the characteristic of strongly nonlinear vehicle system, this paper discusses how to evaluate the sideslip angle with the extended Kalman filter (EKF) algorithm and build both double-track kinematics model and tire model, and then, we proposed the conception of nonlinear state space description and analyzed the result with a simulation method ultimately.


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    Titel :

    Estimation of Electric Drive Vehicle Sideslip Angle Based on EKF


    Beteiligte:
    Yang, Guibing (Autor:in) / Liu, Chunguang (Autor:in) / Qin, Dingzhe (Autor:in)


    Ausgabe :

    1st ed. 2016


    Erscheinungsdatum :

    01.01.2016


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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