Due to day by day increase in carbon emission, recently electric vehicles play major role in automobile industry. The BLDC motor based drives are effective for running an electric vehicle. This paper focuses on Brushless DC (BLDC) motors that are extensively used in Electric Two wheelers due to its high torque to weight ratio, increased efficiency. This paper analyses the efficient control of BLDC motor for low cost Electric two wheeler using fuzzy logic control to achieve the desired speed in less time. The vehicle dynamics that are required to choose motor power for low cost two wheeler is also discussed. The desired speed of the motor is achieved using PI and Fuzzy Logic controller. A Fuzzy logic controller operates the motor in such a way that they achieve the desired speed within shorter span of time compared to the conventional PI controller. The Dynamic calculations for choosing the motor power are presented. The simulation of fuzzy logic controller and vehicle dynamics for appropriate motor power is developed in MATLAB/Simulink.


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    Title :

    Speed Control of BLDC motor using Fuzzy Logic Algorithm for Low Cost Electric Vehicle


    Contributors:


    Publication date :

    2022-08-25


    Size :

    1238242 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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