Aiming at the problem that the different driving modes of the four motors of distributed drive electric vehicles affect the vehicle energy consumption, the driver driving intention recognition mechanism based on fuzzy control is studied, and the control strategy of torque distribution of different motors is formulated. In this paper, a hierarchical vehicle control scheme is proposed, which is divided into an upper driving intent recognition layer, a middle vehicle torque distribution layer and a lower signal control layer. The upper layer uses the fuzzy controller to identify the driver’s intention of the five driving modes of general drive, emergency drive, light braking, general brake and emergency braking, the middle layer formulates different torque distribution strategies to maximize economy under the premise of ensuring vehicle safety, and the lower layer outputs control signals. The control strategy is built in Matlab/Simulink, and the effectiveness of the control strategy is verified by joint simulation with VPAT. The results show that the strategy model achieves the expected effect, and through the driver intent recognition strategy, the average working point of the four motors in the high efficiency zone of the vehicle is increased by 13.88% under NEDC working conditions, and the vehicle energy consumption is saved by 7%.


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    Titel :

    Research on Control Strategy of Distributed Drive Electric Vehicle Based on Driving Intent Recognition


    Beteiligte:
    Shidong, Xia (Autor:in) / Jinfu, Wang (Autor:in) / Changhai, Yao (Autor:in)


    Erscheinungsdatum :

    01.12.2023


    Format / Umfang :

    5059516 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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