The stator core of the high-speed amorphous alloy permanent magnet synchronous motor(HSAAPMSM)experiences significant temperature fluctuations due to exposure to a high-frequency alternating magnetic field. We introduce the dynamic Jiles-Atheron(J-A) model under wide frequency and variable temperature operating conditions to achieve accurate modeling for stator core loss. In contrast to previous modeling techniques, this approach does not rely on amount of experience data and laborious parameter identifications. The adaptive chaotic dung beetle optimization algorithm is applied to improve the effectiveness of parameter identification. The temperature-dependent static J-A model is modified into a dynamic J-A model by combining the field separation approach with the Riemann-Liouville (R-L) fractional derivative theory to enable the model's application under high-frequency operating circumstances. Finally, the model described in this study is verified through experimentation and can be used to precisely calculate the loss of amorphous alloy cores.
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