Genetic Algorithm-Based Optimized Modulation For Dual Active Bridge PFC Circuit For Electric Vehicle Application

Abstract

This paper presents an optimized modulation scheme for a single-stage Dual Active Bridge (DAB) |AC|-DC converter developed by means of a multiobjective genetic algorithm, in particular the nondominated sorting genetic algorithm II (NSGA-II), for an Electric Vehicle (EV) On-Board Charger (OBC) application. The proposed methodology has the aim of reaching the best sequence of control parameters across the whole range of the input voltage, by optimizing the current across the series inductance and the turn-on currents of the semiconductors. The proposed methodology and the optimal solutions are validated with simulation results and compared with a well-known phase-shift modulation, in order to observe the improvements in the power losses.