A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux Machines
Transverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a wide-spread technique for transverse flux machines design, as their computational cost is much lower than the finite element method. In this paper a...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10261770/ |
| _version_ | 1797666911193923584 |
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| author | Victor Ballestin-Bernad Aritz Egea-Caceres Jesus Sergio Artal-Sevil Jose Antonio Dominguez-Navarro |
| author_facet | Victor Ballestin-Bernad Aritz Egea-Caceres Jesus Sergio Artal-Sevil Jose Antonio Dominguez-Navarro |
| author_sort | Victor Ballestin-Bernad |
| collection | DOAJ |
| description | Transverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a wide-spread technique for transverse flux machines design, as their computational cost is much lower than the finite element method. In this paper a novel analytical sizing methodology for transverse and radial flux machines is presented, focusing on the current load and the pole length factor as the main design parameters. The motor specifications are intended for a light-duty electric vehicle application. As transverse flux machines have a single, hoop-shaped coil per phase that embraces the flux of all the pole pairs, their principle of operation and therefore their sizing equations differ from radial flux machines. The proposed analytical method allows to compare transverse and radial flux machines easily through a similarity analysis and a parametric study. Furthermore, the discrepancies between the analytical model and the finite element method are quantified and then included in previous equations. Then the analytical model is optimized with a multiobjective genetic algorithm in the final stage. According to the sizing methodology presented here, transverse flux machines have a superior performance than radial flux machines in terms of torque density and efficiency. |
| first_indexed | 2024-03-11T20:05:29Z |
| format | Article |
| id | doaj.art-68e82e97e2a24fbc9238a2d465ff0f5a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T20:05:29Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-68e82e97e2a24fbc9238a2d465ff0f5a2023-10-03T23:00:31ZengIEEEIEEE Access2169-35362023-01-011110606310608210.1109/ACCESS.2023.331852710261770A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux MachinesVictor Ballestin-Bernad0Aritz Egea-Caceres1https://orcid.org/0000-0003-0066-1952Jesus Sergio Artal-Sevil2https://orcid.org/0000-0001-7764-235XJose Antonio Dominguez-Navarro3https://orcid.org/0000-0002-4770-0069Department of Electrical Engineering, University of Zaragoza, Zaragoza, SpainDepartment of Electronics and Computer Science, Mondragon University, Arrasate/Mondragón, SpainDepartment of Electrical Engineering, University of Zaragoza, Zaragoza, SpainDepartment of Electrical Engineering, University of Zaragoza, Zaragoza, SpainTransverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a wide-spread technique for transverse flux machines design, as their computational cost is much lower than the finite element method. In this paper a novel analytical sizing methodology for transverse and radial flux machines is presented, focusing on the current load and the pole length factor as the main design parameters. The motor specifications are intended for a light-duty electric vehicle application. As transverse flux machines have a single, hoop-shaped coil per phase that embraces the flux of all the pole pairs, their principle of operation and therefore their sizing equations differ from radial flux machines. The proposed analytical method allows to compare transverse and radial flux machines easily through a similarity analysis and a parametric study. Furthermore, the discrepancies between the analytical model and the finite element method are quantified and then included in previous equations. Then the analytical model is optimized with a multiobjective genetic algorithm in the final stage. According to the sizing methodology presented here, transverse flux machines have a superior performance than radial flux machines in terms of torque density and efficiency.https://ieeexplore.ieee.org/document/10261770/Analytical sizing equationselectric vehiclesfinite element methodmultiobjective genetic algorithmpermanent magnet synchronous machinestransverse flux machines |
| spellingShingle | Victor Ballestin-Bernad Aritz Egea-Caceres Jesus Sergio Artal-Sevil Jose Antonio Dominguez-Navarro A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux Machines IEEE Access Analytical sizing equations electric vehicles finite element method multiobjective genetic algorithm permanent magnet synchronous machines transverse flux machines |
| title | A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux Machines |
| title_full | A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux Machines |
| title_fullStr | A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux Machines |
| title_full_unstemmed | A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux Machines |
| title_short | A Comprehensive Analytical Sizing Methodology for Transverse and Radial Flux Machines |
| title_sort | comprehensive analytical sizing methodology for transverse and radial flux machines |
| topic | Analytical sizing equations electric vehicles finite element method multiobjective genetic algorithm permanent magnet synchronous machines transverse flux machines |
| url | https://ieeexplore.ieee.org/document/10261770/ |
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