A 2D Generalized Equivalent Magnetic Network Model for Electromagnetic Performance Analysis of Surface-Mounted Permanent Magnet Electric Machines
This paper proposes a two-dimensional (2D) generalized equivalent magnetic network (GEMN) model suitable for surface-mounted permanent magnet electric machines (SPEMs). The model divides the SPEM into eight types of regions: stator yoke, stator tooth body, stator tooth tips, stator slot body, stator slot openings, air gap, rotor permanent magnets, and rotor yoke. Each region is subdivided radially and tangentially into multiple 2D magnetic network units containing radial and tangential magnetic circuit parameters, forming a regular magnetic network covering all regions of the SPEM. The topology of this magnetic network remains unchanged during rotor rotation and can accommodate various surface-mounted permanent magnet structures including Halbach arrays, which enhances the generality of the model significantly. The proposed model can be used to calculate the 2D magnetic flux density distribution, winding electromotive force, electromagnetic torque, stator iron loss, and permanent magnet demagnetization in the influence of magnetic saturation, stator slotting, and current harmonic. Comparative analysis with the accurate subdomain method (ASDM) and finite element method (FEM) demonstrates that the GEMN model achieves a good balance between computational speed and accuracy, making it particularly suitable for efficient electromagnetic performance evaluation of SPEMs.
Authors
- Junquan Chen (ORCID: https://orcid.org/0000-0002-4353-9327)
- Yisong He (ORCID: https://orcid.org/0000-0001-8611-5877)
- Chenqi Tang (ORCID: https://orcid.org/0000-0002-6054-5606)
- Zhixin Liu
Institutions
- Naval University of Engineering (CN)
Publication Details
- Journal
- Electronics
- Published
- 2025-04-18
- DOI
- https://doi.org/10.3390/electronics14081642
- Primary Topic
- Electric Motor Design and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China