In optimized permanent magnet synchronous machines, stator core losses are recognized as one of the major sources of electromagnetic loss. Quantitively evaluating and characterizing the variation pattern of stator core losses considering different factors such as operation conditions, current harmonics, and geometrical parameters is vital in the design stage. To deal with the high computation cost of using the high temporal resolution time-stepping finite element (FE) method, a fast method combining minimum magnetostatic finite element analysis and analytical process is proposed as an alternative solution. The flux density waveforms over an entire electrical period, originating from the magnets and the fundamental armature current, are reconstructed separately using sampled data and the frozen permeability method. Compared to the time-stepping FE method, the proposed approach delivers satisfactory core loss estimation accuracy with significantly reduced computation time.

Fast Stator Core Loss Estimation of PMSMs Considering Current Harmonics With Minimum Magnetostatic Analysis

Bianchi, Nicola;
2025

Abstract

In optimized permanent magnet synchronous machines, stator core losses are recognized as one of the major sources of electromagnetic loss. Quantitively evaluating and characterizing the variation pattern of stator core losses considering different factors such as operation conditions, current harmonics, and geometrical parameters is vital in the design stage. To deal with the high computation cost of using the high temporal resolution time-stepping finite element (FE) method, a fast method combining minimum magnetostatic finite element analysis and analytical process is proposed as an alternative solution. The flux density waveforms over an entire electrical period, originating from the magnets and the fundamental armature current, are reconstructed separately using sampled data and the frozen permeability method. Compared to the time-stepping FE method, the proposed approach delivers satisfactory core loss estimation accuracy with significantly reduced computation time.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3562345
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