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

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

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.

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. https://doi.org/10.1109/TIE.2017.2772188

• Journal Article Type: Article
• Acceptance Date: Sep 13, 2017
• Online Publication Date: Nov 13, 2017
• Publication Date: Jul 1, 2018
• Deposit Date: Mar 8, 2018
• Publicly Available Date: Mar 8, 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
• DOI: https://doi.org/10.1109/TIE.2017.2772188
• Keywords: High power density, multidomain, optimization, permanent magnet machines, transportation
• Public URL: https://nottingham-repository.worktribe.com/output/894815
• Publisher URL: http://ieeexplore.ieee.org/document/8106741/
• 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.
• Contract Date: Mar 8, 2018