Multi-domain optimization of high power-density PM electrical machines for system architecture selection
The power density of electrical machines for transport applications has become a critical aspect and target of optimization. This paper looks at the development of an intelligent, rapid, flexible, and multidomain tool to aid for system-level optimization of electrical machines within next-generation...
| Main Authors: | , , , , |
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| Format: | Article |
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Institute of Electrical and Electronics Engineers
2017
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| Online Access: | https://eprints.nottingham.ac.uk/50210/ |
| _version_ | 1848798186134568960 |
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| author | Golovanov, Dmitry Papini, Luca Gerada, David Xu, Zeyuan Gerada, C. |
| author_facet | Golovanov, Dmitry Papini, Luca Gerada, David Xu, Zeyuan Gerada, C. |
| author_sort | Golovanov, Dmitry |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The power density of electrical machines for transport applications has become a critical aspect and target of optimization. This paper looks at the development of an intelligent, rapid, flexible, and multidomain tool to aid for system-level optimization of electrical machines within next-generation high power density applications. The electromagnetic, thermal, and mechanical aspects are wholly integrated, thus enabling the optimization including the nonactive mass. The implementation and overall architecture of the tool are described, and using a case study drawn fromthe aerospace industry, the tool is used to compare the power density of various surface permanentmagnet topologies including single airgap and dual airgapmachines, highlighting the particular suitability of the dual rotor topology in achieving the best power to mass ratio. Finally, the accuracy of the tool is highlighted by practical realization and experimental validation. |
| first_indexed | 2025-11-14T20:15:46Z |
| format | Article |
| id | nottingham-50210 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:15:46Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-502102020-05-04T19:17:27Z https://eprints.nottingham.ac.uk/50210/ Multi-domain optimization of high power-density PM electrical machines for system architecture selection Golovanov, Dmitry Papini, Luca Gerada, David Xu, Zeyuan Gerada, C. The power density of electrical machines for transport applications has become a critical aspect and target of optimization. This paper looks at the development of an intelligent, rapid, flexible, and multidomain tool to aid for system-level optimization of electrical machines within next-generation high power density applications. The electromagnetic, thermal, and mechanical aspects are wholly integrated, thus enabling the optimization including the nonactive mass. The implementation and overall architecture of the tool are described, and using a case study drawn fromthe aerospace industry, the tool is used to compare the power density of various surface permanentmagnet topologies including single airgap and dual airgapmachines, highlighting the particular suitability of the dual rotor topology in achieving the best power to mass ratio. Finally, the accuracy of the tool is highlighted by practical realization and experimental validation. Institute of Electrical and Electronics Engineers 2017-11-13 Article PeerReviewed Golovanov, Dmitry, Papini, Luca, Gerada, David, Xu, Zeyuan and Gerada, C. (2017) Multi-domain optimization of high power-density PM electrical machines for system architecture selection. IEEE Transactions on Industrial Electronics, 65 (7). pp. 5302-5312. ISSN 1557-9948 High power density multidomain optimization permanent magnet machines transportation http://ieeexplore.ieee.org/document/8106741/ doi:10.1109/TIE.2017.2772188 doi:10.1109/TIE.2017.2772188 |
| spellingShingle | High power density multidomain optimization permanent magnet machines transportation Golovanov, Dmitry Papini, Luca Gerada, David Xu, Zeyuan Gerada, C. Multi-domain optimization of high power-density PM electrical machines for system architecture selection |
| title | Multi-domain optimization of high power-density PM electrical machines for system architecture selection |
| title_full | Multi-domain optimization of high power-density PM electrical machines for system architecture selection |
| title_fullStr | Multi-domain optimization of high power-density PM electrical machines for system architecture selection |
| title_full_unstemmed | Multi-domain optimization of high power-density PM electrical machines for system architecture selection |
| title_short | Multi-domain optimization of high power-density PM electrical machines for system architecture selection |
| title_sort | multi-domain optimization of high power-density pm electrical machines for system architecture selection |
| topic | High power density multidomain optimization permanent magnet machines transportation |
| url | https://eprints.nottingham.ac.uk/50210/ https://eprints.nottingham.ac.uk/50210/ https://eprints.nottingham.ac.uk/50210/ |