Abstract
Permanent magnet synchronous motor (PMSM) is widely used in electric vehicles. Saturation nonlinearity and parameter distortion jointly bring about torque ripple and voltage distortion. In this study, through the finite element analysis (FEA) results of the motor, the optimal linear approximation method with variable parameters is used to solve the surface optimization problem, and the multi-objective control technology for harmonic current injection is established. Based on the genetic algorithm, the multi-objective optimization of torque ripple suppression, power input smoothing and phase current minimization under the constraint of DC bus voltage is completed. The optimal solution set under different working conditions is obtained. Finally, the optimization results are verified by finite element method (FEM), which can effectively improve the bottleneck of operation performance.
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