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Analysis and Optimization of Cogging Torque in Yokeless and Segmented Armature Axial-Flux Permanent-Magnet Machine with Soft Magnetic Composite Core.

机译:具有软磁复合铁芯的无节段分段衔铁轴向磁通永磁电机的齿槽转矩分析与优化。

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Yokeless and segmented armature (YASA) axial-flux permanent-magnet machine has high power density and efficiency, which is suitable for in-wheel or near-wheel direct-drive electric vehicles. This paper investigates the cogging torque of a YASA with soft magnetic composite (SMC) core. Firstly, the structure of SMC-based YASA is introduced. Then, the influence of magnet pole-arc ratio, magnet skewing, stator shoe width ratio and stator shoe shifting on cogging torque is analyzed. Based on which, the cogging torque is optimized by response surface model and genetic algorithm (GA). Finally, the optimization results are verified by 3-D finite-element method (FEM). The results confirm that, based on a certain magnet pole-arc ratio, there exists an optimum combination of magnet skewing angle, stator shoe width ratio and stator shoe shifting angle for the cogging torque minimization, while the main performances of the machine remain nearly invariable.
机译:无轭分段电枢(YASA)轴向磁通永磁电机具有高功率密度和效率,适用于轮内或近轮直驱电动汽车。本文研究了带有软磁复合材料(SMC)磁芯的YASA的齿槽转矩。首先介绍了基于SMC的YASA的结构。然后,分析了磁极弧比,磁体偏斜,定子靴宽比和定子靴偏移对齿槽转矩的影响。在此基础上,通过响应面模型和遗传算法(GA)对齿槽转矩进行了优化。最后,通过3D有限元方法(FEM)验证了优化结果。结果证实,基于一定的磁极电弧比,存在最佳的磁偏角,定子靴宽比和定子靴移位角的组合,以最大程度地减小齿槽转矩,而电机的主要性能几乎保持不变。

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