A High-Fidelity and Computationally Efficient Model for Interior Permanent-Magnet Machines Considering the Magnetic Saturation, Spatial Harmonics, and Iron Loss Effect
作者： Xiao Chen , Jiabin Wang , Bhaskar Sen , Panagiotis Lazari , Tianfu Sun
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摘要: Interior permanent-magnet (IPM) machines exhibit relatively large spatial harmonics in phase voltages and high nonlinearity torque production due to both the presence of reluctance magnetic saturation stator rotor cores. To simulate real electromagnetic behavior IPM machines, this paper proposes a high-fidelity computationally efficient machine model considering saturation, harmonics, iron loss effect based on inverse solution flux linkages extracted via finite-element analysis (FEA). Neither FEA nor derivative computation is involved time-stepping simulation; thereby, proposed numerically robust. The fidelity validated by experimental results.
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