Abstract
The reverse-salient permanent magnet synchronous motor (RSPMSM) is a competitive candidate for electric vehicles due to its high torque density and high efficiency. This paper proposes an optimized RSPMSM by adopting a segmented permanent magnet structure. First, the structure, electromagnetic torque, and current control laws of the RSPMSM are introduced in detail. Second, the optimization design method of the RSPMSM is proposed by taking the torque and constant-power speed range as optimized objectives, with the saliency ratio as a constraint. The optimized model of the RSPMSM is determined using the genetic algorithm (GA). Further performance analysis and comparisons are made between the initial motor and the optimized motor. Finally, a prototype is manufactured, and the performance of the RSPMSM is verified through the finite element method (FEM) and experiments.
Highlights
Permanent magnet synchronous motors (PMSMs) are being widely incorporated into electric vehicle (EV) drive systems due to their advantages, such as their high efficiency, torque/power density, and power factor [1–4]
The results show that the flux-weakening performance of the reverse-salient permanent magnet synchronous motor (RSPMSM) can be optimized by adjusting the area ratio of the soft magnetic materials and permanent magnetic materials [20,21]
We propose that for the RSPMSM topology, its magnetic bridges are arranged on the d-axis and the magnetic barriers are arranged on the q-axis
Summary
Permanent magnet synchronous motors (PMSMs) are being widely incorporated into electric vehicle (EV) drive systems due to their advantages, such as their high efficiency, torque/power density, and power factor [1–4]. The conventional IPMSM design method does not directly consider the constant-power speed range, torque, and saliency ratio at the same time. To meet the requirements of the EVs, this paper sets the torque and constant-power speed range as optimized objectives, and the saliency ratio as a constraint. The constant-power speed range, torque, and saliency ratio of the motors can be considered simultaneously in the motor optimization design process. The reliability of the RSPMSM is high, which is of great significance for EVs. Second, in the optimization design process, the constant-power speed range, torque, and saliency ratio are considered at the same time. To use reluctance torque, the RSPMSM exhibits different current control laws
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