Design Method for High-Frequency Transformer of DC-DC Converter for V2LC Using High Accuracy Magnetic Equivalent Model

Abstract

This paper explores the advancement of electric vehicle (EV) technology as a solution to global warming, with a specific focus on the role of Vehicle-to-Load (V2L) technology. V2L allows EV batteries to supply energy to homes, buildings, or power grids. The implementation of this system relies on efficient DC-DC converters and DC-AC inverters. This study presents an improved predictive model for the magnetizing inductance of high-frequency transformers, a critical component in LLC resonant converters widely used in V2L applications. The proposed design method leverages a Multi-objective Optimization Algorithm (MOA) to improve prediction accuracy and support high-density, high-efficiency designs through detailed magnetic flux path analysis and optimization techniques. The validity of the proposed method was confirmed through experiments and finite element analysis on a 500W high-frequency transformer for an LLC resonant converter.