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Multi-domain optimization of high power-density PM electrical machines for system architecture selection

Golovanov, Dmitry; Papini, Luca; Gerada, David; Xu, Zeyuan; Gerada, C.

Authors

Dmitry Golovanov

Luca Papini eexlp4@exmail.nottingham.ac.uk

David Gerada ezzdg2@exmail.nottingham.ac.uk

Zeyuan Xu

C. Gerada chris.gerada@nottingham.ac.uk



Abstract

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.

Journal Article Type Article
Publication Date Jul 1, 2018
Journal IEEE Transactions on Industrial Electronics
Print ISSN 0278-0046
Electronic ISSN 1557-9948
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 65
Issue 7
Pages 5302-5312
APA6 Citation Golovanov, D., Papini, L., Gerada, D., Xu, Z., & Gerada, C. (2018). Multi-domain optimization of high power-density PM electrical machines for system architecture selection. IEEE Transactions on Industrial Electronics, 65(7), 5302-5312. doi:10.1109/TIE.2017.2772188
DOI https://doi.org/10.1109/TIE.2017.2772188
Keywords High power density, multidomain, optimization, permanent magnet machines, transportation
Publisher URL http://ieeexplore.ieee.org/document/8106741/
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information D. Golovanov, L. Papini, D. Gerada, Z. Xu and C. Gerada, "Multidomain Optimization of High-Power-Density PM Electrical Machines for System Architecture Selection," in IEEE Transactions on Industrial Electronics, vol. 65, no. 7, pp. 5302-5312, July 2018.
doi: 10.1109/TIE.2017.2772188
c2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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