Electric vehicles (EVs) are the best solution for green transportation because of their zero-gas emission. In this paper, rear in-wheel drive using BLDC motor has been studied. Each rear wheel of the EV is driven independently by an electric motor. When the EV drives on a straight road, the speed of each motor is the same. However, on a curved road, the speed of each motor must be different in order to make sure that the EV can be able to turn safely. Therefore, the Ackermann-Jeantand steering model or electronic differential system (EDS) is introduced to compute the reference speed for each rear wheel during steering motion. The fuzzy logic controller is used as a speed controller in this research. The system has included the hysteresis current controller to produce gate signals for the inverter. The results of the simulation are demonstrated on a GUI’s interface. The simulations have carried out with four different modes of the EV steering motion. Due to the results, it is illustrated that the control system has driven correctly.


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    Titel :

    Independent Speed Steering Control of Rear In-wheel BLDC Motor in EV Based on Fuzzy Logic Controller in GUI


    Beteiligte:


    Erscheinungsdatum :

    01.07.2019


    Format / Umfang :

    1341240 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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