The paper introduces an adaptive Torque Vectoring (TV) controller for all-wheel-drive electric vehicles. The main focus of this study lies in tuning procedures of controller gains in accordance with the manoeuvre conditions. For this purpose, a pre-trained neural network predicts the vehicle behaviour and adjusts the PID gains of the TV controller. The proposed method extends the applicability of the TV system and increases its efficiency as compared to the non-adaptive baseline control methods.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Development of Torque Vectoring Controller Tuned with Neural Networks


    Additional title:

    Lect.Notes Mechanical Engineering


    Contributors:

    Conference:

    The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2021 August 17, 2021 - August 19, 2021



    Publication date :

    2022-08-06


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Self-adaptive Torque Vectoring Controller Using Reinforcement Learning

    Taherian, Shayan / Kuutti, Sampo / Visca, Marco et al. | IEEE | 2021


    TORQUE VECTORING APPARATUS

    AHN CHULMIN / BYUN SUNGGON / KIM SEOK JOON et al. | European Patent Office | 2021

    Free access

    TORQUE VECTORING DEVICE

    YAGUCHI YU | European Patent Office | 2020

    Free access

    TORQUE VECTORING DEVICE

    MORIO TOSHIYUKI / MISHIMA KEISUKE / YAMANAKA TOSHIHIKO | European Patent Office | 2018

    Free access

    Torque vectoring apparatus

    AHN CHULMIN / BYUN SUNGGON / KIM SEOK JOON et al. | European Patent Office | 2021

    Free access