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

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

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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.

Item Type: Article
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.
Keywords: High power density, multidomain, optimization, permanent magnet machines, transportation
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
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Depositing User: Burns, Rebecca
Date Deposited: 08 Mar 2018 08:47
Last Modified: 04 May 2020 19:17

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