An ANN-Fuzzy Based Single Phase PWM Rectifier for EV Application

Abstract

With advancements in technology, numerous charging technologies for EV topology has been emerged. Various converters and Recently, several modeling strategies have been set forward to improve these chargers' performance. Among those, most frequent forms of rectifier is pulse width modulation (PWM). The single-phase converter, which transfers electric energy between the grid and battery pack, acts as less harmonic free. Input current can be decreased with PWM rectifiers. This paper proposes a pwm rectifier based on PI,ANN and Fuzzy controllers for control method and also refers Hysteresis and SPWM techniques for modulation purpose.The two stage conversion and battery management system are discussed.Simulation testing are conducted to examine the working of pulse width modulated rectifier in terms of rising time, settling time, power factor, harmonic distortion and efficiency. The experimental laboratory setup is executed to Validate the Results.