TY  - JOUR
AB  - 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.
AU  - Lu, M
AU  - He, C
AU  - Lei, G
AU  - Duan, N
DA  - 2025/01/01
DO  - 10.1049/ema3.70021
JO  - Electrical Materials and Applications
PB  - Institution of Engineering and Technology (IET)
PY  - 2025/01/01
TI  - Simulation and Verification of Magnetic Hysteresis Characteristics of Electrical Steel Sheets Based on the J?A Model
VL  - 2
Y1  - 2025/01/01
Y2  - 2026/05/04
ER  -