Magneto-Electric Coupling Network Model for Reduction of PM Eddy Current Loss in Flux-Switching Permanent Magnet Machine

This paper proposes a mesh-based magneto-electric coupling network model for prediction and reduction of PM eddy current loss in a flux-switching permanent magnet machine. The key is to couple the electromagnetic induction between the eddy current network and the equivalent magnetic network (EMN) in stator PMs dynamically. First, the eddy current network of PM is established with electric mesh. The electromotive forces of electric mesh is induced by considering double-side effects based on Maxwell's equations. Second, the stator meshing method with PM segments is proposed and combined in the EMN matching to eddy current mesh. High efficiency and accuracy with detailed magnetic field distributions can be obtained. Then, the magnetic field generated from EMN PM nodes is coupled in eddy current network to accurately predict the flow directions and density distributions. Finally, the original design and the other two structures with rotor magnetic barriers are analyzed for reduction of eddy current loss. The effectiveness of the proposed model is verified by finite-element analysis and experimental results.