Rapid Optimization Framework for Axial Flux Permanent Magnet Motors Using Initial-State FEA and Surrogate Modeling
The optimal design of axial flux permanent magnet synchronous motors (AFPMMs) relies on three-dimensional finite element analysis (3D FEA) to accurately evaluate nonlinear electromagnetic characteristics. However, the high computational cost of 3D FEA limits its applicability to large-scale design optimization. To addr...