Regenerative Braking System of Electric Vehicle Driven By BLDC Motor Using Neuro- Fuzzy and PID | Abstract

ISSN ONLINE(2319-8753)PRINT(2347-6710)

Research Article Open Access

Regenerative Braking System of Electric Vehicle Driven By BLDC Motor Using Neuro- Fuzzy and PID

Abstract

Regenerative braking can improve energy usage efficiency and can extend the driving distance of Electric Vehicles. Innovative Regenerative Braking System of EV driven by BLDC motor is recommended. In this technique, Brushless DC motor is controlled by traditional Proportional Integral Derivative control, and the braking force distribution is done by ANFIS. This reasoning is quite sluggish compared to PID. Thus PID is used to control the negative torque of the motor when brake is pressed. This fresh elucidation has improved performance in regard to insight, strength, and efficiency. The suggested system grants the simulation results by analysing the speed of motor with its braking force and the vehicle’s battery charge under the IDE of Simulink. The results illustrates that the Neurofuzzy logic and PID control can recognize the regenerative braking can prolong the driving distance of EVs under the condition of confirming quality of braking condition. Eventually, the proposed method is proved using MATLAB R2014a software.

V.Sindhuja, G.Ranjitham

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