Abstract
This article presents the optimization study targeting a specific drive cycle for a MAGNUS-type axial-flux permanent magnet vernier machine (AFPMVM). The proposed MAGNUS machine has a novel design with a dual-stator configuration, where only one stator is wound, with a high-polarity spoke permanent magnet (PM) rotor. The machine topology has a 3-D flux path, which necessitates the analysis of a large finite-element (FE) model. However, due to the computational complexity and time required for such a large FE model, a new approach was developed. This approach involves a computationally efficient FE analysis (CE-FEA) model combined with a single-point drive-cycle analysis and the differential evolution (DE) optimization algorithm. The targets of the optimization algorithm are derived by modeling the load operating cycle through a systematic k-means clustering method, identifying specific operating points representing high-energy zones within the drive cycle. The optimized design achieves a wide range of constant power operation, which is desirable for electric vehicle (EV) in-wheel traction. Experimental and numerical results demonstrate a higher torque density in the MAGNUS machine compared with commercially available EV traction motors. In addition, this article explores various flux-weakening methods for the MAGNUS machine, highlighting their respective benefits.
Original language | English |
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Pages (from-to) | 2477-2488 |
Number of pages | 12 |
Journal | IEEE Transactions on Transportation Electrification |
Volume | 11 |
Issue number | 1 |
DOIs | |
State | Published - 2025 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Axial-flux vernier machine
- differential evolution (DE) optimization
- drive cycle
- electric vehicles (EVs)
- finite-element analysis (FEA)
- flux weakening
- in-wheel traction
- permanent magnet (PM) motor
- spoke rotor
ASJC Scopus subject areas
- Automotive Engineering
- Transportation
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering