Abstract
Outer-rotor switched reluctance machines (SRMs) have drawn much attention as promising candidates for in-wheel direct-drive motors of future electric vehicles. This article presents a systematic performance comparison of three outer-rotor SRM topologies for in-wheel traction applications in terms of the specific torque, electromagnetic efficiency, torque ripple, radial force, and mechanical aspects. A generalized design optimization framework for SRMs is proposed to enable the fast evaluation of large numbers of designs generated from the differential evolution by incorporating an analytical current profile estimation into the transient finite element analysis. The relationship between the saliency ratio and converter volt-ampere rating is also discussed. The calculations are then benchmarked with the experimental results from an existing prototype. The effectiveness of the performance prediction method and the proposed optimization approach is validated.
Document Type
Article
Publication Date
10-9-2020
Digital Object Identifier (DOI)
https://doi.org/10.1109/TIA.2020.3029995
Funding Information
The support of ANSYS Inc. and University of Kentucky, the L. Stanley Pigman endowment and the SPARK program, is gratefully acknowledged.
Repository Citation
Rallabandi, Vandana; Han, Peng; Wu, Jie; Cramer, Aaron M.; Ionel, Dan M.; and Zhou, Ping, "Design Optimization and Comparison of Direct-Drive Outer-Rotor SRMs Based on Fast Current Profile Estimation and Transient FEA" (2020). Power and Energy Institute of Kentucky Faculty Publications. 61.
https://uknowledge.uky.edu/peik_facpub/61
Notes/Citation Information
Published in IEEE Transactions on Industry Applications, v. 57, issue 1.
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The document available for download is the authors’ manuscript version. The final published version is copyrighted by IEEE and is available as: V. Rallabandi, P. Han, J. Wu, A.M. Cramer, D.M. Ionel, and P. Zhou, “Design Optimization and Comparison of Direct-drive Outer-rotor SRMs Based on Fast Current Profile Estimation and Transient FEA,” in IEEE Transactions on Industry Applications, doi: 10.1109/TIA.2020.3029995