Accurate Leakage Inductance Modeling Using an Artificial Neural Network Based on the Dowell Model-Reference-Cited by-同舟云学术

Accurate Leakage Inductance Modeling Using an Artificial Neural Network Based on the Dowell Model

Published:2023-05-01 Issue:3 Volume:12 Page:334-344
ISSN:2187-1094
Container-title:IEEJ Journal of Industry Applications
language:en
Short-container-title:IEEJ Journal IA

Author:

Wu Yu-Hsin¹,Shigematsu Koichi²,Omoto Yasumichi³,Ikushima Yoshihiro³,Imaoka Jun²,Yamamoto Masayoshi²

Affiliation:

1. Electrical Engineering, Nagoya University

2. Institute of Materials and Systems for Sustainability, Nagoya University

3. Power Electronics Division, NIDEC MOBILITY CORPORATION

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Energy Engineering and Power Technology,Automotive Engineering

Link

https://www.jstage.jst.go.jp/article/ieejjia/12/3/12_22007452/_pdf

Reference32 articles.

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2. (2) M. Li, Z. Ouyang, and M. A. E. Andersen: “High-Frequency LLC Resonant Converter with Magnetic Shunt Integrated Planar Transformer”, IEEE Trans. Power Electron., Vol. 34, No. 3, pp. 2405-2415 (2019)

3. (3) T. Ou, M. Noah, M. Tsuruya, S. Namiki, K. Morita, J. Imaoka, and M. Yamamoto: “Transformer with Adjustable Path-Core Type Inductance for Use in GaN-HEMT LLC Resonant Converter”, IEEJ Journal of Ind. App., Vol. 11, No. 1, pp. 41-48 (2022)

4. (4) S. Cetin: “High efficiency design procedure of a second stage phase shifted full bridge converter for battery charge applications based on wide output voltage and load ranges”, J. Power Eletron., Vol. 18, No. 4, pp. 975-984 (2018)

5. (5) P. Janse van Rensbur and H. Ferreira: “The Role of Magnetizing and Leakage Inductance in Transformer Coupling Circuitry”, Proc. 8th ISPLC-2004, No. 2053408, pp. 244-249 (2004)

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