Holistic electrical machine optimization for system integration

Tools

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.

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/abstract/document/7992174/

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.

Item Type:

Conference or Workshop Item (Paper)

RIS ID:

https://nottingham-repository.worktribe.com/output/874229

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.

Keywords:

high power density, permanent magnet machines, multi-domain, optimization

Schools/Departments:

University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering

Identification Number:

https://doi.org/10.1109/IFEEC.2017.7992174

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