Multi-factor interactive study on the influence of circuit core loss

This paper studies the effects of temperature, excited waveform and magnetic core materials on the loss of magnetic elements in the circuit, and constructs a multi-factor regression analysis model of multi-factor magnetic core loss considering single-factor main effect, secondary effect and multifactor interaction. In the process of solving, adaptive particle group optimization algorithm (APSO) is used to find the optimal parameter combination. The results show that the minimum loss value of the magnetic circuit is 8104.01 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> at a temperature of 90°C, sinusoidal waveform and material 4. Innovation lies in the introduction of complex interaction items and adaptive optimization algorithms that comprehensively capture nonlinear relationships between factors, improve solution efficiency.

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Published
2025-05-23
DOI
https://doi.org/10.1109/ecie65947.2025.11087012
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
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article
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article

Multi-factor interactive study on the influence of circuit core loss

Zhongdong Wang, Peiyan Yu, Peng Xiong, Haomai Ning
Advancements in Semiconductor Devices and Circuit Design
article

Multi-factor interactive study on the influence of circuit core loss

Zhongdong Wang, Peiyan Yu, Peng Xiong, Haomai Ning
article en

Abstract

This paper studies the effects of temperature, excited waveform and magnetic core materials on the loss of magnetic elements in the circuit, and constructs a multi-factor regression analysis model of multi-factor magnetic core loss considering single-factor main effect, secondary effect and multifactor interaction. In the process of solving, adaptive particle group optimization algorithm (APSO) is used to find the optimal parameter combination. The results show that the minimum loss value of the magnetic circuit is 8104.01 W/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> at a temperature of 90°C, sinusoidal waveform and material 4. Innovation lies in the introduction of complex interaction items and adaptive optimization algorithms that comprehensively capture nonlinear relationships between factors, improve solution efficiency.

Nanjing University of Science and Technology (CN), Guilin University of Technology (CN), Jiangsu Police Officer College (CN)
Openalex Percentile: Top 82%
Advancements in Semiconductor Devices and Circuit Design
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Multi-factor interactive study on the influence of circuit core loss — Zhongdong Wang, Peiyan Yu, et al. · (2025) | TGRS Research Map | TGRS