关键词: 压缩空气储能, 永磁同步电机, 磁热耦合计算, 多目标优化

Abstract: Permanent magnet synchronous motor (PMSM) is the core component of the compressed air energy storage system, which operates in a environment for a long time and under the operating conditions of wide speed and high frequency startup and shutdown, resulting in high temperature rise and large noise of the motor, and its excessive electromagnetic fluctuation also causes unstable motor mode switching process, resulting in a decline in overall performance. In view of this problem, an innovative collaborative optimization strategy is proposed, which integrates NSGA-II and RSM. The tooth slot torque, loss and torque fluctuation of PMSM are taken as the optimization for multi-objective optimization design. First, based on the Maxwell, a high-precision 2D transient electromagnetic field model of the motor is constructed, and the magnet-thermal coupling calculation method is introduced to simulate the temperature field of the motor, and the electromagnetic loss of the motor calculated by finite element method is used as the heat source to the temperature rise under different working conditions, and the temperature rise characteristics of the motor are verified. Then, in view of the problem of mutual influence among the parameter variables, NSGA-II algorithm is used to seek the Pareto front solution to solve the contradiction in multi-objective optimization, and the optimization algorithm design is based on seeking the optimal combination rather than optimal value. The results show that the tooth slot torque, torque fluctuation and loss of the optimized motor are significantly reduced, and the temperature rise of each main structure of the motor is reduced.

Key words: CAES, PMSM, magnetic thermal coupling calculation, multi objective optimization