Performance improvement of BLDC motor driven electric vehicle using different metaheuristic optimisations based techniques Online publication date: Fri, 11-Oct-2024
by Sandesh Patel; Shekhar Yadav; Nitesh Tiwari
International Journal of Powertrains (IJPT), Vol. 13, No. 3, 2024
Abstract: The number of fuel-based vehicles is increasing around the world, which produces greenhouse gases and pollutes air quality. One best solution is using EVs instead of fuel-based vehicles. EVs do not produce any harmful gases that can help keep the air and environment healthy. BLDC motors are gaining more popularity among the automobile sectors such as EVs due to their compact size and fast dynamic response. BLDC motors did not have any brushes but it consisted of mechanical commutators. In this paper, the BLDC motor's speed is controlled by the current controller. A high-performance BLDC motor is designed with the help of meta-heuristic optimisation techniques, namely TLBO, DE, PSO, ABC, and SSO. The role of these optimisation techniques is in determining optimised gain parameters for the PI controller, such as proportional gain (Kp) and integral gain (Ki). The overall system is developed by using MATLAB/Simulink.
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