INTELLIGENT ANN-BASED THREE-PHASE MULTILEVEL ISOLATED CONVERTER FOR CONCURRENT CHARGING OF DUAL EV BATTERIES

Abstract

This paper presents an intelligent EV charging system based on a two-stage converter architecture designed for simultaneous charging of dual electric vehicle batteries. The proposed system integrates a three-phase multilevel boost power factor correction (PFC) AC–DC converter with a bidirectional isolated dual-output DC–DC converter employing zero-voltage switching (ZVS). The two stages operate independently, allowing effective control without mutual interference and ensuring stable operation in continuous conduction mode. To enhance system performance, an Artificial Neural Network (ANN)-based controller is implemented, replacing conventional control techniques. The ANN controller is trained to dynamically regulate output voltage, minimize total harmonic distortion (THD), and maintain a high power factor under varying load and grid conditions. Additionally, it enables balanced power distribution between the two batteries and improves transient response and system stability. The proposed architecture supports efficient energy conversion, reduced switching losses, and reliable dual battery management. Simulation results carried out in the MATLAB/Simulink environment demonstrate the effectiveness of the system in achieving high efficiency, improved power quality, and intelligent control performance. Therefore, the proposed ANN-based multilevel isolated converter provides a promising solution for next-generation fast and smart EV charging infrastructure.