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首页> 外文期刊>Journal of Electrical Engineering & Technology >Reduction of Electromagnetic Vibration and Noise in Permanent Magnet Motor for EVs by Optimizing Design of Rotor Based on GPR-PSO Model
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Reduction of Electromagnetic Vibration and Noise in Permanent Magnet Motor for EVs by Optimizing Design of Rotor Based on GPR-PSO Model

机译:减少电磁振动和噪声在永磁电机电动汽车通过优化基于GPR-PSO转子模型的设计

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摘要

Radial electromagnetic force of motor causes electromagnetic vibration and noise. Reasonable improvement of the rotor structure can effectively reduce the radial electromagnetic force and weaken the electromagnetic vibration and noise. Based on a permanent magnet synchronous motor for EVs, this paper proposes an improved rotor structure with auxiliary flux barriers to reduce the radial electromagnetic force, thereby weakening the electromagnetic vibration and noise. The sample data sets of the relationship among the parameters of the improved rotor structure, the radial electromagnetic force and the output torque of the motor are established by the orthogonal method. Gaussian process regression models are used to fit the data sample sets. Then the regression functions are used as fitness function and constraint function for particle swarm optimization. Thus the optimal rotor structure parameters are gotten. The radial electromagnetic forces of motor before and after improvement are simulated. Then the vibration and noise characteristics are analyzed and compared. The results show that the improved structure can reduce the vibration and noise effectively on the premise of ensuring the electromagnetic performance. The modal analysis and strength check are carried out to ensure the rationality of the improvement. The validity of the simulation results is verified by experiments.
机译:径向电磁力运动的原因电磁振动和噪声。转子结构的改进有效降低径向电磁力和削弱电磁振动和噪音。同步电动机的电动汽车,这提出了一个改进的转子结构和辅助通量减少径向电磁障碍力,从而削弱电磁振动和噪音。改进的参数之间的关系转子结构,径向电磁力和电动机的输出转矩建立了正交方法。回归模型用于适应过程数据样本集。作为适应度函数和约束对粒子群优化函数。最优转子结构参数得到了。运动之前和之后的改进模拟。振动和噪声特性分析和比较。结构可以减少振动和改善噪声有效的前提保证电磁性能。进行检查以确保和力量理性的进步。仿真结果验证了实验。

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