微特电机 ›› 2024, Vol. 52 ›› Issue (2): 20-25.

• 设计分析 • 上一篇    下一篇

内置式永磁游标轮毂电机结构参数多目标优化

王小曼, 程远雄   

  1. 华中科技大学 机械科学与工程学院,武汉 430074
  • 收稿日期:2023-12-18 出版日期:2024-02-28 发布日期:2024-02-29

Multi Objective Optimization of Structural Parameters of Interior Permanent Magnet Vernier Wheel Hub Motor

WANG Xiaoman, CHENG Yuanxiong   

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology,Wuhan 430074, China
  • Received:2023-12-18 Online:2024-02-28 Published:2024-02-29

摘要: 外转子内置式永磁游标电机采用了磁调制原理,其内嵌永磁的结构能够提供额外的磁阻转矩,在低速大转矩方面有显著优势。 研究了 V 形内置永磁游标电机,针对其磁路结构复杂、电磁参数多、不同性能指标之间难以平衡的问题,选取电磁结构参数作为优化对象, 采用有限元的计算方法建立了 BP 神经网络代理模型, 并利用NSGA-Ⅱ进行多目标优化,电机转矩和铁心损耗的优化率均达到 10%以上,验证了多目标优化算法在内置式永磁游标电机设计方面的优越性。

关键词: 外转子轮毂电机, 内置式永磁游标电机, BP 神经网络, 带精英策略的快速非支配排序遗传算法, 电磁场有限元

Abstract: The outer rotor embedded permanent magnet vernier motor adopts the principle of magnetic modulation. Due to its structure of embedded permanent magnet, it is easy to optimize and control the magnetic circuit, and has significant advantages in low speed and high torque. A configuration design of a trapezoidal interior permanent magnet vernier motor was conducted. In response to its complex structure, multiple electromagnetic parameters, and difficulty in balancing different performance indicators, the electromagnetic structural parameter were selected as the optimization objective. A BP neural network proxy model was established by using finite element calculation method, and the NSGA-Ⅱ intelligent optimization algorithm was used for multi-objective optimization, resulting in an optimization rate of over 10% for motor torque and iron core loss, which verified the effectiveness of the multi objective optimization on the interior permanent magnet vernier motor design.

Key words: outer rotor hub motor, interior permanent magnet vernier motor, back propagation( BP ) neural network, nondominated sorting genetic algorithm Ⅱ( NSGA-Ⅱ) intelligent algorithm, electromagnetic field finite element

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