3次元RNAによるスキュー付きアキシャルギャップモータの特性算定

抄録

  Axial-gap motors have higher torque density than those with conventional radial gaps because they are able to reduce the thickness of the motor and increase the number of poles with a relatively smaller radius. Therefore, axial-gap motors are expected to be applied to various fields such as home electrical appliances and the in-wheel motors for electric vehicles. The establishment of an optimal method of design for axial-gap motors is required, but it generally takes a long time to calculate the characteristics of these motors since it is necessary to analyze the three-dimensional electromagnetic field. To overcome this problem, this paper presents a method of calculating the characteristics of axial-gap motors with skew based on reluctance network analysis (RNA). The validity of the proposed method is tested and proved by comparing the measurements with the results from finite element method (FEM) analysis.