IEEE Access (Jan 2023)

Evolved Quasi-3D Analysis Method for Analysis Cost Reduction of Axial Flux Permanent Magnet Motor

  • Jong-Min Ahn,
  • Han-Kyeol Yeo,
  • Ji-Yeon Kim,
  • Dong-Hee Lee,
  • Dong-Kuk Lim

DOI
https://doi.org/10.1109/ACCESS.2023.3342177
Journal volume & issue
Vol. 11
pp. 141241 – 141250

Abstract

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This paper proposes an evolved quasi-3D analysis method (EQAM) that can extremely reduce analysis time by applying it to models where 3D analysis is essential. The conventional quasi-3D analysis is a method that can equalize a 3D analysis with multiple 2D analyses and is widely used for 3D models that take a long analysis time. However, the quasi-3D method still has the problem of taking a long time to interpret because it requires increasing the number of quasi segments to obtain accurate results. Therefore, this paper proposes a method of deriving a magnetic flux linkage, torque, voltage, torque-current phase angle curve (T- $\beta $ curve) by interpreting only one step rather than all steps in multiple quasi segments. Compared to the 3D analysis, the EQAM reduced the T- $\beta $ curve extraction time by 99.1% and reduced the capacity of the analysis file by 99.6%. In terms of analysis accuracy, the average torque error rate is 0.20% and the voltage error rate is 2.88% at the operating point. The validity of the proposed method was verified by confirming that the analysis time and file capacity reduction rate were significantly higher than the error rate. Therefore, EQAM is expected to be of great help to researchers facing time problems by being applied to various fields and studies that require 3D finite element analysis.

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