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http://hdl.handle.net/10397/80756
Title: | Design and analysis of a novel synthetic slot dual-PM machine | Authors: | Guo, XH Wang, QX Shang, RY Chen, FY Fu, WN Hua, W |
Issue Date: | 2019 | Source: | IEEE access, 2019, v. 7, p. 29916-29923 | Abstract: | We propose a novel synthetic slot dual-permanent-magnet (SSDPM) machine with high-torque density for direct drive in-wheel electric vehicles that employ two sets of permanent-magnet (PM) motors. The SSDPM uses both PMs on the rotor and the stator slots, which can achieve flux modulation. The machine's operating principles, based on bidirectional flux modulating effects, need to be further developed. In SSDPM stator slots, PMs are located on the rabbet and on each side of a tooth. The PM is magnetized in various ways and its arrangement is more flexible. A magnet-iron structure is used to provide the flux modulation and PM excitation concurrently. The optimal design adopts a combined method that uses a finite element method and a genetic algorithm. The performance of this hybrid method is analyzed by simulation. A prototype machine is manufactured and the experimental results verify the validity of the model structure and simulation results. | Keywords: | Flux modulation Genetic algorithm (GA) Magnet-iron structure Synthetic slot |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE access | ISSN: | 2169-3536 | DOI: | 10.1109/ACCESS.2019.2902460 | Rights: | © 2019 IEEE. Translations and content mining are permitted for academic research only.Personal use is also permitted, but republication/redistribution requires IEEE permission.See http://www.ieee.org/publications_standards/publications/rights/index.html for more information The following publication X. Guo, Q. Wang, R. Shang, F. Chen, W. Fu and W. Hua, "Design and Analysis of a Novel Synthetic Slot Dual-PM Machine," in IEEE Access, vol. 7, pp. 29916-29923, 2019 is available at https://dx.doi.org/10.1109/ACCESS.2019.2902460 |
Appears in Collections: | Journal/Magazine Article |
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Guo_Design_Analysis_Synthetic.pdf | 2.21 MB | Adobe PDF | View/Open |
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