Simulation and Verification of Magnetic Hysteresis Characteristics of Electrical Steel Sheets Based on the J‐A Model

ABSTRACT Electrical steel sheets, as core components of electromagnetic equipment, are indispensable in modern power equipment. The magnetic hysteresis characteristics of electrical steel sheets have a significant impact on key performance indicators such as energy efficiency and lifespan of electromagnetic equipment. Accurately simulating the magnetic hysteresis characteristics of electrical steel sheets plays a crucial role in the design and optimisation of electromagnetic equipment. This paper analyses the classical J‐A model and the inverse J‐A model. Three parameter identification methods—least squares method based on the partial difference method, least squares method based on the ordinary differential method and particle swarm optimisation algorithm—are used to identify the model parameters. After comparing the results with experimental data, it is found that each algorithm has its advantages. At B max = 1.7 T, the simulation results based on the differential method of least squares are almost identical to the experimental results. However, overall, the PSO algorithm is more universal.

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Publication Details

Journal
Electrical materials and applications.
Published
2025-01-01
DOI
https://doi.org/10.1049/ema3.70021
Primary Topic
Magnetic Properties and Applications
Type
article
Field-Weighted Citation Impact
0.00

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Simulation and Verification of Magnetic Hysteresis Characteristics of Electrical Steel Sheets Based on the J‐A Model

Chengxu He, Gang Lei
Electrical materials and applications.
Magnetic Properties and Applications
article

Simulation and Verification of Magnetic Hysteresis Characteristics of Electrical Steel Sheets Based on the J‐A Model

Chengxu He, Gang Lei
article en

Abstract

ABSTRACT Electrical steel sheets, as core components of electromagnetic equipment, are indispensable in modern power equipment. The magnetic hysteresis characteristics of electrical steel sheets have a significant impact on key performance indicators such as energy efficiency and lifespan of electromagnetic equipment. Accurately simulating the magnetic hysteresis characteristics of electrical steel sheets plays a crucial role in the design and optimisation of electromagnetic equipment. This paper analyses the classical J‐A model and the inverse J‐A model. Three parameter identification methods—least squares method based on the partial difference method, least squares method based on the ordinary differential method and particle swarm optimisation algorithm—are used to identify the model parameters. After comparing the results with experimental data, it is found that each algorithm has its advantages. At B max = 1.7 T, the simulation results based on the differential method of least squares are almost identical to the experimental results. However, overall, the PSO algorithm is more universal.

Electrical materials and applications.Vol. 2(1)
University of Technology Sydney (AU), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 77%
Magnetic Properties and Applications
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Simulation and Verification of Magnetic Hysteresis Characteristics of Electrical Steel Sheets Based on the J‐A Model — Chengxu He, Gang Lei · Electrical materials and applications. (2025) | TGRS Research Map | TGRS