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Holistic electrical machine optimization for system integration

Gerada, David; Golovanov, Dmitry; Xu, Zeyuan; Papini, Luca; Degano, Michele; Zhang, He; Gerada, Chris

Authors

DAVID GERADA D.Gerada@nottingham.ac.uk
Professor of Electrical Engineering

Dmitry Golovanov

ZEYUAN XU ZEYUAN.XU@NOTTINGHAM.AC.UK
Principal Research Fellow

Luca Papini

MICHELE DEGANO Michele.Degano@nottingham.ac.uk
Professor of Advanced Electrical Machines

He Zhang



Abstract

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.

Citation

Gerada, D., Golovanov, D., Xu, Z., Papini, L., Degano, M., Zhang, H., & Gerada, C. (2017). Holistic electrical machine optimization for system integration. In 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia) (980-985). https://doi.org/10.1109/IFEEC.2017.7992174

Conference Name 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC - ECCE Asia) 2017
Conference Location Kaohsiung, Taiwan
Start Date Jun 3, 2017
End Date Jun 7, 2017
Acceptance Date Dec 30, 2016
Online Publication Date Jul 27, 2017
Publication Date 2017
Deposit Date Oct 3, 2017
Publicly Available Date Mar 28, 2024
Peer Reviewed Peer Reviewed
Pages 980-985
Book Title 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017 - ECCE Asia)
ISBN 978-1-5090-5158-8
DOI https://doi.org/10.1109/IFEEC.2017.7992174
Keywords high power density, permanent magnet machines, multi-domain, optimization
Public URL https://nottingham-repository.worktribe.com/output/874229
Publisher URL http://ieeexplore.ieee.org/abstract/document/7992174/
Related Public URLs http://www.ifeec.tw/
Additional Information Published in 2017 IEEE 3rd International Future Energy Electronics Conference and ECCE Asia (IFEEC 2017-ECCE Asia). Piscataway, N.J. : IEEE, 2017. ISBN: 978-1-5090-5157-1 pp. 980-985, doi:10.1109/IFEEC.2017.7992174 © 2017 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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