The segmented-stator dual-rotor axial flux permanent magnet motor (AFPMM) in this article adopts two-segment Halbach permanent magnets (PMs) in the rotor and soft magnetic composite materials in the stator core, so it has the advantages of high torque density and high efficiency. This article proposes an optimization method for AFPMMs combining analytical optimization and nonlinear optimization, based on the analytical calculation of the magnetic field and electromagnetic performance. To realize analytical calculations, the AFPMM is regarded as the superposition of equivalent linear PM motor slices at different radii. The magnetic field is calculated using the slotless 2-D equivalent model and the slotted air gap relative permeability. Compared with finite-element analysis (FEA), the analytical calculation of the electromagnetic characteristics has acceptable accuracy and faster speed. The multiobjective optimization program for the AFPMM aims at lighter motor mass and lower loss. In analytical optimization, the expression of the optimal axial magnetization coefficient of the two-segment Halbach array and the expression of the minimum rotor core thickness is deduced to improve the optimization speed and results. Then, the nonlinear optimization algorithm is used to solve the multiobjective optimization problem.

中文翻译：

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分段定子双转子轴向磁通永磁电机的解析计算与优化

本文中的分段定子双转子轴向磁通永磁电机（AFPMM）转子采用两段式海尔贝克永磁（PM），定子铁芯采用软磁复合材料，具有转矩密度高的优点。和高效率。本文基于磁场和电磁性能的解析计算，提出了一种结合解析优化和非线性优化的AFPMMs优化方法。为了实现解析计算，AFPMM被视为不同半径的等效线性永磁电机切片的叠加。磁场使用无槽二维等效模型和有槽气隙相对磁导率计算。与有限元分析（FEA）相比，电磁特性的解析计算具有可接受的精度和更快的速度。AFPMM 的多目标优化程序旨在减轻电机质量和降低损耗。在解析优化中，推导了两段式Halbach阵列最佳轴向磁化系数的表达式和最小转子铁芯厚度的表达式，以提高优化速度和优化结果。然后，采用非线性优化算法求解多目标优化问题。推导了两段Halbach阵列最佳轴向磁化系数的表达式和最小转子铁芯厚度的表达式，以提高优化速度和优化结果。然后，采用非线性优化算法求解多目标优化问题。推导了两段Halbach阵列最佳轴向磁化系数的表达式和最小转子铁芯厚度的表达式，以提高优化速度和优化结果。然后，采用非线性优化算法求解多目标优化问题。