Holistic electrical machine optimization for system integration
The power density of electrical machines required for transport applications has become a critical aspect and target of optimization. This paper looks at the development aspects of a multi-domain tool to aid for system-level optimization of electrical machines within next-generation high power-densi...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2017
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/46773/ |
| _version_ | 1848797397396750336 |
|---|---|
| author | Gerada, David Golovanov, Dmitry Xu, Zeyuan Papini, Luca Degano, Michele Zhang, He Gerada, C. |
| author_facet | Gerada, David Golovanov, Dmitry Xu, Zeyuan Papini, Luca Degano, Michele Zhang, He Gerada, C. |
| author_sort | Gerada, David |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The power density of electrical machines required for transport applications has become a critical aspect and target of optimization. This paper looks at the development aspects of a multi-domain 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 non-active mass. The implementation and overall architecture are described with the aim of deriving conclusions as to which SPM machine topology yields the maximum power to mass ratio. |
| first_indexed | 2025-11-14T20:03:14Z |
| format | Conference or Workshop Item |
| id | nottingham-46773 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:03:14Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-467732020-05-04T18:57:03Z https://eprints.nottingham.ac.uk/46773/ Holistic electrical machine optimization for system integration Gerada, David Golovanov, Dmitry Xu, Zeyuan Papini, Luca Degano, Michele Zhang, He Gerada, C. The power density of electrical machines required for transport applications has become a critical aspect and target of optimization. This paper looks at the development aspects of a multi-domain 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 non-active mass. The implementation and overall architecture are described with the aim of deriving conclusions as to which SPM machine topology yields the maximum power to mass ratio. 2017-07-27 Conference or Workshop Item PeerReviewed Gerada, David, Golovanov, Dmitry, Xu, Zeyuan, Papini, Luca, Degano, Michele, Zhang, He and Gerada, C. (2017) Holistic electrical machine optimization for system integration. In: Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia), 3-7 June 2017, Kaohsiung, Taiwan. high power density permanent magnet machines multi-domain optimization http://ieeexplore.ieee.org/abstract/document/7992174/ doi:10.1109/IFEEC.2017.7992174 doi:10.1109/IFEEC.2017.7992174 |
| spellingShingle | high power density permanent magnet machines multi-domain optimization Gerada, David Golovanov, Dmitry Xu, Zeyuan Papini, Luca Degano, Michele Zhang, He Gerada, C. Holistic electrical machine optimization for system integration |
| title | Holistic electrical machine optimization for system integration |
| title_full | Holistic electrical machine optimization for system integration |
| title_fullStr | Holistic electrical machine optimization for system integration |
| title_full_unstemmed | Holistic electrical machine optimization for system integration |
| title_short | Holistic electrical machine optimization for system integration |
| title_sort | holistic electrical machine optimization for system integration |
| topic | high power density permanent magnet machines multi-domain optimization |
| url | https://eprints.nottingham.ac.uk/46773/ https://eprints.nottingham.ac.uk/46773/ https://eprints.nottingham.ac.uk/46773/ |