微特电机 ›› 2025, Vol. 53 ›› Issue (2): 45-48.

• 设计分析 • 上一篇    下一篇

同步磁阻电机转子结构拓扑优化及边界处理

庞  悦,张成新,刘方韬   

  1. 曲阜师范大学 工学院,日照 276800
  • 收稿日期:2024-09-20 出版日期:2025-02-28 发布日期:2025-02-26

Topology Optimization and Boundary Processing of Rotor Structure of Synchronous Reluctance Motor

PANG Yue, ZHANG Chengxin, LIU Fangtao   

  1. College of Engineering,Qufu Normal University,Rizhao 276800,China
  • Received:2024-09-20 Online:2025-02-28 Published:2025-02-26

摘要: 同步磁阻电机具有永磁材料消耗少、调速范围广、生产成本低等优势,在新能源汽车领域具有显著竞争力。 采用归一化高斯网络对一台额定功率为 22 kW、转速为 3 000 r/ min 的同步磁阻电机转子进行拓扑优化,并提出一种基于高斯平滑的 B 样条改进算法,对优化后的边界进行平滑处理。 研究结果表明,优化后的电机平均转矩增加1. 91 N · m、转矩脉动减小 3. 5%,电机性能得到改善。

关键词: 同步磁阻电机, 拓扑优化, 归一化高斯网格, 高斯平滑, B 样条曲线

Abstract: The synchronous reluctance motor, with its advantages of low permanent magnet material consumption, wide speed control range and low production cost has significant competitiveness in the field of new energy vehicles. A normalized Gaussian network was used for the topological optimization of the rotor of a synchronous reluctance motor with a rated power of 22 kW and a speed of 3 000 r / min. A Gaussian smoothing-based B-spline improvement algorithm was
proposed to smooth the optimized boundary. The results indicate that the optimized motor shows an increase of 1. 91 N · m in average torque, a 3. 5% reduction in torque ripple and an overall improvement in motor performance.

Key words: synchronous reluctance motor, topology optimization, normalized Gaussian grid, Gaussian smoothing, B-spline curve

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