Intelligent ANN-Based Control of a Bridgeless PFC On-Board Charger with Compact DC-Link for Electric Vehicles

Abstract

Onboard charging infrastructure has to be efficient, small, and strong to keep up with the demands of an expanding fleet of electric cars. This research aims to shed light on a new method for controlling a small electric vehicle on-board charger (OBC) that use a bridgeless PFC system. An acronym for "Artificial Neural Networks," the tactic is dependent on them. The suggested design does away with the conventional diode bridge rectifier to boost system efficiency and cut down on conduction losses. Regardless of the situation, the ANN controller keeps the DC-link voltage low, the input current form near unity, and the total harmonic distortion (THD) low. Among the many benefits of the compact DC-link design are increased power density, enhanced system dependability, and a reduced footprint for passive components. The improved control technique outperforms the state-of-the-art in three key areas: efficiency, dynamic responsiveness, and conformity with power quality criteria, according to robust MATLAB/Simulink simulations. In light of these findings, the suggested ANN-controlled bridgeless PFC OBC may be considered for inclusion in upgraded electric vehicle charging stations in the near future. Keywords_ Electric Vehicles (EVs), on-board chargers, intelligent control, compact DC-link, big efficiency, nonlinear control systems, unity power factor, harmonic mitigation, and total harmonic distortion (THD).