TMAG2020 addtional material

This repository includes the addtional material of the paper for TMAG: Comparison of subdomain, complex permeance and relative permeance models for a wide family of permanent-magnet machines.

1. Detail information about the analytical models and finite element model

We use the analytical models and finite element model in the paper. Because of the limitation of the 5 pages for the paper of Intermag 2020, we add the detail information about the analytical models and finite models in the GitHub.

1.1 Description of the models

1.1.1 Analytical models

We use the analytical models include subdomain model, complex permeance model and relative permeance models in the paper. We create them by the next references.

• Subdomain model

  1. P.-D. Pfister, X. Yin, and Y. Fang, “Slotted permanent-magnet machines: General analytical model of magnetic fields, torque, eddy currents, and permanent-magnet power losses including the diffusion effect,” IEEE Transactions on Magnetics, vol. 52, no. 5, pp. 1–13, May 2016.
  2. B. Hannon, P. Sergeant, and L. Dupré, “Computational-time reduction of fourier-based analytical models,” IEEE Transactions on Energy Conversion, vol. 33, no. 1, pp. 281–289, March 2018.

• Complex permeance model

  1. D. Zarko, D. Ban, and T. A. Lipo, “Analytical calculation of magnetic field distribution in the slotted air gap of a surface permanent-magnet motor using complex relative air-gap permeance,” IEEE Transactions on Magnetics, vol. 42, no. 7, pp. 1828–1837, July 2006.

• Relative permeance model

  1. Z. Q. Zhu and D. Howe, “Instantaneous magnetic field distribution in brushless permanent magnet dc motors. iii. effect of stator slotting,” IEEE Transactions on Magnetics, vol. 29, no. 1, pp. 143–151, Jan 1993.

1.1.2 Finite element model

We use the FEMM (21Apr2019 version) to create the finite element model. The description of the finite element model is shown in the next reference.

• Page 144~146, David Meeker, Finite Element Method Magnetics Version 4.2 User’s Manual

1.2 Programs of the models

Based on the theory in the above reference, we build every model by MATLAB. The detail program is listed in the document 'Program for GitHub. rar'.

2. Error distribution changing with the key parameters

Because of the limitation of the 5 pages for the paper of Intermag 2020, we add some figures about the error distribution changing with the key parameters in the document ' Additional figures. pdf'.