Focusing on the driving force distribution control method of four-wheel independent drive electric vehicles, a driving force distribution strategy with a hierarchical structure is proposed in this paper. The upper layer used a neural network to optimize the fuzzy rules and membership function so as to adapt to changes in the process parameters and subjectivity owing to the limitations of the fuzzy control rules acquired by human experience. The lower layer used the optimal distribution method based on rules, focusing on the minimum tire load ratio. The proposed control strategy was verified by Carsim/Simulink co-simulation and a hardware-in-the-loop experiment. The results show that the proposed control strategy can improve the handling stability of vehicles on roads with different levels of adhesion.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Hierarchical driving force allocation strategy for 4-WID electric vehicles


    Contributors:
    Wang, Jianlong (author) / Zhang, Chuanwei (author) / Yang, Zhi (author) / Dang, Meng (author) / Chang, Bo (author) / Li, Cheng (author) / Zhang, Rongbo (author) / Ma, Jian (author)


    Publication date :

    2023-09-01


    Size :

    15 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Study on Reconfigurable Driving Force Allocation Strategy of Distributed Driving Electric Vehicle

    Cui, Xiangpo / Chen, Guoying | British Library Conference Proceedings | 2016





    DRIVING FORCE CONTROLLER AND VEHICLES

    ITO YOSHIAKI / ISHIDA RYUTA | European Patent Office | 2015

    Free access