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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2019.5
- 수록면
- 1,645 - 1,652 (8page)
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초록· 키워드
오류제보하기
High frequency transformer (HFT) is the key component in bi-directional high-power DC-DC converter stage, which will substitute the traditional bulky transformers for modern power system. This paper presents an optimization design methodology of HFT based on multiobjective genetic algorithm (MOGA) with emphasis on efficiency, power density and thermal behavior. Accurate analytical models on total loss, magnetic size and the maximum temperature rise are carefully discussed and formulated as respective cost functions during optimization. An equivalent thermal model is introduced and validated by finite element modeling (FEM) and computational fluid dynamics (CFD) simulation. Incorporating the proposed methodology, optimal design of a 6kW, 50kHz, 600V/600V, HFT design has been derived, which exhibits a 99.62% efficiency and 12.24 kW/L power density with maximum 54.59℃ temperature rise. To verify the effectiveness and accuracy of the analytical expressions employed in the optimization methodology, experiments were performed on the constructed prototype and the analytical models have been well benchmarked with the laboratory results.
목차
Abstract
I. INTRODUCTION
II. HFT DESIGN METHODOLOGY
III. OPTIMIZATION DESIGN RESULTS
IV. EXPERIMENTAL AND SIMULATION VALIDATION
V. CONCLUSIONS
REFERENCES
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