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논문 기본 정보

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(Hanyang University) (Hyundai KEFICO) (Hanyang University) (Hanyang University)
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대한전기학회 전기학회논문지 전기학회논문지 제74권 제6호
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    초록·키워드

    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.

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