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Abstract
This paper 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 3D 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 finite element 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 to commercially available electric vehicle traction motors. Additionally, the paper explores various flux-weakening methods for the MAGNUS machine, highlighting their respective benefits.
Document Type
Conference Proceeding
Publication Date
2024
Digital Object Identifier (DOI)
doi: 10.1109/TTE.2024.3423713
Repository Citation
Mohammadi, Ali; Chulaee, Yaser; Cramer, Aaron M.; Boldea, Ion G.; and Ionel, Dan M., "Large-scale Design Optimization of an Axial-flux Vernier Machine with Dual Stator and Spoke PM Rotor for EV In-wheel Traction" (2024). Electrical and Computer Engineering Graduate Research. 63.
https://uknowledge.uky.edu/ece_gradpub/63
