This paper presents a torque vectoring algorithm that enhances the agility and stability of a hybrid drive vehicle that is a rear-wheel-drive vehicle equipped with two front in-wheel motors and an open differential at the rear axle. Vehicle agility and stability are closely related to the understeer gradient and the yaw rate damping coefficient. Based on this relation, the proposed torque vectoring algorithm is designed to modify the two cornering characteristics using steady-state and transient control inputs, each input with its respective purpose. Firstly, the steady-state control input improves vehicle agility by reducing the vehicle understeer gradient. Secondly, the transient control input improves the lateral stability by increasing the yaw rate damping coefficient. The effects of the proposed algorithm on vehicle dynamic responses are analyzed to select proper design parameter values for the algorithm. The proposed algorithm has been validated via both computer simulations and vehicle tests. From the simulation results, the proposed control algorithm showed better control performance compared to that of the sliding mode based yaw rate controllers, fulfilling the objectives of the steady-state and transient control strategies. The vehicle tests have been conducted with the algorithm implemented in a rear-wheel-drive vehicle equipped with two front in-wheel motors. The vehicle test results show that the proposed algorithm can provide superior performance in enhancing vehicle agility and stability compared to that of the uncontrolled case.


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    Titel :

    Torque vectoring control of a hybrid drive vehicle to enhance vehicle agility and stability


    Beteiligte:
    Cha, Hyunsoo (Autor:in) / Joa, Eunhyek (Autor:in) / Park, Kwanwoo (Autor:in) / Park, Jaeyong (Autor:in) / Yi, Kyongsu (Autor:in)


    Erscheinungsdatum :

    2023-11-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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