The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
O cálculo preciso da indutância é o problema mais básico do projeto do indutor. Neste artigo, a distribuição da densidade do fluxo do núcleo e o fluxo de vazamento na janela do núcleo e no enrolamento do indutor do tipo núcleo são analisados primeiramente pela análise de elementos finitos (FEA). Com base nele, um circuito equivalente magnético aprimorado com distribuição de densidade de fluxo de alta precisão (iMEC) é proposto para um indutor do tipo núcleo monofásico. Dependendo da estrutura geométrica, são modelados dois caminhos de vazamento da janela central. Além disso, o iMEC divide a força magnetomotriz do enrolamento no ramo central correspondente. Torna a distribuição da densidade do fluxo central consistente com a distribuição FEA para melhorar a precisão da indutância. No iMEC, a densidade de fluxo da perna central apresenta um erro inferior a 5.6% em comparação com a simulação FEA em 150A. O erro relativo máximo da indutância é inferior a 8.5% e o erro relativo médio é inferior a 6% em comparação com os dados de teste do protótipo físico. Ao mesmo tempo, devido à alta eficiência computacional do iMEC, ele é muito adequado para projetos de otimização baseados em população.
Xiaodong WANG
Chinese Academy of Sciences,University of Chinese Academy of Sciences
Lyes DOUADJI
Chinese Academy of Sciences
Xia ZHANG
Chinese Academy of Sciences
Mingquan SHI
Chinese Academy of Sciences
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Xiaodong WANG, Lyes DOUADJI, Xia ZHANG, Mingquan SHI, "Improved Magnetic Equivalent Circuit with High Accuracy Flux Density Distribution of Core-Type Inductor" in IEICE TRANSACTIONS on Electronics,
vol. E103-C, no. 8, pp. 362-371, August 2020, doi: 10.1587/transele.2019ECP5042.
Abstract: The accurate calculation of the inductance is the most basic problem of the inductor design. In this paper, the core flux density distribution and leakage flux in core window and winding of core-type inductor are analyzed by finite element analysis (FEA) firstly. Based on it, an improved magnetic equivalent circuit with high accuracy flux density distribution (iMEC) is proposed for a single-phase core-type inductor. Depend on the geometric structure, two leakage paths of the core window are modeled. Furthermore, the iMEC divides the magnetomotive force of the winding into the corresponding core branch. It makes the core flux density distribution consistent with the FEA distribution to improve the accuracy of the inductance. In the iMEC, flux density of the core leg has an error less than 5.6% compared to FEA simulation at 150A. The maximum relative error of the inductance is less than 8.5% and the average relative error is less than 6% compared to the physical prototype test data. At the same time, due to the high computational efficiency of iMEC, it is very suitable for the population-based optimization design.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/transele.2019ECP5042/_p
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@ARTICLE{e103-c_8_362,
author={Xiaodong WANG, Lyes DOUADJI, Xia ZHANG, Mingquan SHI, },
journal={IEICE TRANSACTIONS on Electronics},
title={Improved Magnetic Equivalent Circuit with High Accuracy Flux Density Distribution of Core-Type Inductor},
year={2020},
volume={E103-C},
number={8},
pages={362-371},
abstract={The accurate calculation of the inductance is the most basic problem of the inductor design. In this paper, the core flux density distribution and leakage flux in core window and winding of core-type inductor are analyzed by finite element analysis (FEA) firstly. Based on it, an improved magnetic equivalent circuit with high accuracy flux density distribution (iMEC) is proposed for a single-phase core-type inductor. Depend on the geometric structure, two leakage paths of the core window are modeled. Furthermore, the iMEC divides the magnetomotive force of the winding into the corresponding core branch. It makes the core flux density distribution consistent with the FEA distribution to improve the accuracy of the inductance. In the iMEC, flux density of the core leg has an error less than 5.6% compared to FEA simulation at 150A. The maximum relative error of the inductance is less than 8.5% and the average relative error is less than 6% compared to the physical prototype test data. At the same time, due to the high computational efficiency of iMEC, it is very suitable for the population-based optimization design.},
keywords={},
doi={10.1587/transele.2019ECP5042},
ISSN={1745-1353},
month={August},}
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TY - JOUR
TI - Improved Magnetic Equivalent Circuit with High Accuracy Flux Density Distribution of Core-Type Inductor
T2 - IEICE TRANSACTIONS on Electronics
SP - 362
EP - 371
AU - Xiaodong WANG
AU - Lyes DOUADJI
AU - Xia ZHANG
AU - Mingquan SHI
PY - 2020
DO - 10.1587/transele.2019ECP5042
JO - IEICE TRANSACTIONS on Electronics
SN - 1745-1353
VL - E103-C
IS - 8
JA - IEICE TRANSACTIONS on Electronics
Y1 - August 2020
AB - The accurate calculation of the inductance is the most basic problem of the inductor design. In this paper, the core flux density distribution and leakage flux in core window and winding of core-type inductor are analyzed by finite element analysis (FEA) firstly. Based on it, an improved magnetic equivalent circuit with high accuracy flux density distribution (iMEC) is proposed for a single-phase core-type inductor. Depend on the geometric structure, two leakage paths of the core window are modeled. Furthermore, the iMEC divides the magnetomotive force of the winding into the corresponding core branch. It makes the core flux density distribution consistent with the FEA distribution to improve the accuracy of the inductance. In the iMEC, flux density of the core leg has an error less than 5.6% compared to FEA simulation at 150A. The maximum relative error of the inductance is less than 8.5% and the average relative error is less than 6% compared to the physical prototype test data. At the same time, due to the high computational efficiency of iMEC, it is very suitable for the population-based optimization design.
ER -