Abstract

The correct prediction of the loss of amorphous alloy stator cores (AASC) is challenging due to factors such as temperature fluctuations, interference fit stress, and skin effect in high frequency environments. In the complicated operating conditions of high-speed amorphous alloy permanent magnet synchronous motor (HSAAPMSM), an accurate prediction of AASC loss is accomplished by introducing a refined modeling approach of iron loss that considers the interaction of several physical field components. This approach combines with the 3D lumped-parameter thermal network model to generate bidirectional iterative coupling between the temperature distribution of the entire machine and different forms of losses in HSAAPMSM. A steady-state temperature rise result from Maxwell-Fluent bidirectional magnetothermal coupling simulation and test validates the effectiveness and computational superiority of the temperature model that considers the coupling effect of multi-physical field variables.

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