Design of an Advanced EV Charging System for Integration with a Three-Phase Grid System and Artificial Neural Network Controller
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Abstract
This paper seeks to develop a sophisticated system designed to effectively transfer electricity from a grid to charge electric vehicle batteries through a streamlined DC power transfer method. The system consists of a three-phase grid connection, an electric vehicle induction motor, a PWM rectifier and an artificial neural network (ANN) controller. The process begins with extracting electricity from the three-phase grid system, which powers the electric vehicle's specially designed induction motor. The motor's output is then received by the battery charging system, which converts the electrical energy into DC power. The PWM rectifier acts as a crucial link between the battery charging system and the motor, playing a vital role in the system. The ANN controller, with its intelligent capabilities, carefully regulates the rectifier, allowing it to adapt to different working environments and achieve optimal power transmission and charging efficiency. The ANN controller achieves a settling time of 0.14s and the overall system efficiency is measured at 92.5%.
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