Abstract
Large-scale design optimisation techniques enable the design of high-performance electric machines. Electromagnetic 3D finite element analysis (FEA) is typically employed in optimisation studies for accurate analysis of axial flux permanent magnet (AFPM) machines, which require extensive computational resources. To reduce the computational burden, a FEA-based mathematical method relying on the geometric and magnetic symmetry of coreless AFPM machines is proposed to estimate the machine performance indicators using the least number of FEA solutions, thereby significantly lowering the running time. This method is generally applicable to AFPM machines with low saturation effects and cogging torque as exemplified for a printed circuit board (PCB) stator coreless AFPM machine. To further reduce the computation time, a systematically simplified equivalent 3D FEA model for planar PCB coils integrated with this machine is also proposed. The practical implementation of the introduced method is elaborated based on an example optimisation study, and an analytical method for fast design scaling is also discussed. The results of the proposed approach are compared with detailed transient FEA results, and a prototype 26-pole PCB stator coreless AFPM machine was also used to validate the results experimentally.
| Original language | English |
|---|---|
| Pages (from-to) | 883-896 |
| Number of pages | 14 |
| Journal | IET Electric Power Applications |
| Volume | 18 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2024 |
Bibliographical note
Publisher Copyright:© 2024 The Authors. IET Electric Power Applications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
Funding
The authors are most grateful to Professor J. F. Eastham of the University of Bath, England, for technical discussions, review, and feedback. This paper is based upon work supported by the National Science Foundation (NSF) under Award No. #1809876. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. The support of ANSYS Inc., Regal Rexnord, and University of Kentucky the L. Stanley Pigman Chair in Power Endowment is also gratefully acknowledged.
| Funders | Funder number |
|---|---|
| National Science Foundation Arctic Social Science Program | 1809876 |
| National Science Foundation Arctic Social Science Program |
Keywords
- AC machines
- electric motors
- electromagnetic fields
- finite element analysis
- modal analysis
- optimisation
- permanent magnet machines
- permanent magnet motors
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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