A. Ravi, P. Veena
Regenerative Braking System (RBS) can increase energy usage efficiency and can extend the driving distance of Electric Vehicles (EVs). Brushless DC (BLDC) motors are ideally suitable for EVs. In the proposed work, BLDC motor control utilizes the Artificial Neural Network for the distribution of braking force. During the braking period, the proposed method only changes the switching sequence of the inverter to control the inverse torque for returning the braking energy to the battery. Since the braking kinetic energy is converted into the electrical energy and is returned back to the battery. Further the simulation results are analyzed under the environment of MATLAB and Simulink. In comparison to other solutions, the new solution has better performance in regard to realization, robustness, and efficiency because ANN gives high accuracy and better results.
Brushless Dc (BLDC) Motor, Artificial Neural Network (ANN), Regenerative Braking System (RBS), Electric Vehicles (Evs).