Efficiency Optimization Strategy of Permanent Magnet Synchronous Motor for Electric Vehicles Based on Energy Balance

This paper presents an efficiency optimization controller for a permanent magnet synchronous motor (PMSM) of an electric vehicle. A new loss model is obtained based on the permanent magnet synchronous motor's energy balance equation utilizing the theory of the port-controlled Hamiltonian system. Since the energy balance equation is just the power loss of the PMSM, which provides great convenience for us to use the energy method for efficiency optimization. Then, a new loss minimization algorithm (LMA) is designed based on the new loss model by adjusting the ratio of the excitation current in the d-q axis. Moreover, the proposed algorithm is achieved by the principle of the energy shape method of the Hamiltonian system. Simulations are finally presented to verify effectiveness. The main results of these simulations indicate that the dynamic performance of the drive is maintained and the efficiency increase is up to about 7% compared with the i(d)=0 control algorithm, and about 4.5% compared with the conventional LMA at a steady operation of a PMSM.

Automated summary

This paper presents an efficiency optimization controller for a permanent magnet synchronous motor of an electric vehicle. A new loss model is obtained based on the motor's energy balance equation and a new loss minimization algorithm is designed. Simulation results show that the proposed algorithm can improve the motor's efficiency.