Electromagnetic-thermal dual-field surrogate modeling of permanent magnet synchronous motor based on knowledge transfer learning
Accurate and efficient electromagnetic and temperature performance prediction is an important basis for the design optimization of permanent magnet synchronous motors. To address the high computational cost of generating high-fidelity finite-element samples and the susceptibility of conventional DNNs to overfitting in...