Sustainable Energy and Artificial Intelligence

An Analytic 2D Subdomain Model for Slotless Electrical Machines with Internal Arc/Cubic Shape Permanent Magnets

Document Type : Original Article

Authors

Meisam Pourahmadi-Nakhli 1
Seyed Hassan Daryanavard 1
Masoud Jokar Kouhanjani 2
Sina Soltani 3

1 Department of Electrical and Computer Engineering, University of Hormozgan, Bandar Abbas, Iran

2 Shiraz Electricity Distribution Company

3 Department of Instrument and Control Engineering, Piramoon Pardazesh Qeshm, Tehran, Iran

https://doi.org/10.61186/seai.2409-1006
Abstract
Analytical modelling is a powerful tool for electrical machines design. Yet, subdomain arrangements and shapes inconsistent to the principal coordinate system of machine can pose a big challenge when developing an accurate analytical model. As PM arrangements and shapes in electrical motors are subject to change and optimization, this research focuses on developing an accurate 2-D analytical model for both cubic and arch – shaped PMs. To evaluate the accuracy of the model, a brushless electrical machine with spoke-hub PMs on the rotor is used to calculate the magnetic fields of the rotor and stator, as well as the resulting torque. However, comparison with Finite Element Method results indicates that for typical configurations involving cubic and arc-shaped PMs, the two-dimensional (2-D) analytic modeling can accurately compute electromagnetic quantities and the electromagnetic torque.

Highlights

  • This research presents a quick analytical method to model brushless electrical machines with spoke-hub permanent magnets, improving efficiency compared to traditional FEM.
  • The new analytical model accurately computes important electromagnetic factors like torque and back-EMF for different shapes of permanent magnets.
  • The study helps understand how spoke-type PM arrangements influence magnetic field dynamics and performance in machines.
  • The method reduces modeling complexity by using fewer subdomains while still achieving reliable results.
  • The accuracy of the new model is confirmed by comparing its results with those obtained from Finite Element Method analyses.

Keywords

Subdomain Modelling
Rectangle Spoke PM
Arc-Shape Spoke PM
Finite Element Method
Subjects
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Sustainable Energy and Artificial Intelligence
Volume 1, Issue 1
Winter 2025
Pages 13-23

  • Receive Date 15 September 2024
  • Revise Date 24 October 2024
  • Accept Date 17 November 2024
  • First Publish Date 17 November 2024

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