The Influence of Stator Material on the Power Density and Iron Loss of a High-Performace Starter-Generator for More Electric Aircraft

Golovanov, Dmitry; Xu, Zeyuan; Gerada, David; Degano, Michele; Vakil, Gaurang; Gerada, Chris

Abstract

Maximizing the power density as well as efficiency are two of the main critical aspects for engineers who are designing electrical machines for aerospace applications. Iron losses have a significant impact on the total machine efficiency, thermal state and, eventually, on the final machine design. This impact becomes especially critical for high-frequency machines. Thereby a selection of optimal stator material which allows minimizing the total weight and iron losses is very important. This paper focuses on the comparison of cobalt-iron alloy and high-grade non-oriented silicon steel materials in terms of influence on the starter-generator iron losses and power density. Analytical and finite element models are used for calculation and optimization of the machine parameters. The optimization of starter-generator design is performed by using genetic-algorithm taking into account thermal state and the estimation of passive mass. The results of investigation allows for the selection of an optimal stator material based on the machine efficiency, power density as well as the cost considerations.

• Conference Name: 2018 21st International Conference on Electrical Machines and Systems (ICEMS)
• Conference Location: Jeju, South Korea
• Start Date: Oct 7, 2018
• End Date: Oct 10, 2018
• Acceptance Date: Apr 30, 2018
• Online Publication Date: Nov 29, 2018
• Publication Date: 2018-10
• Deposit Date: Apr 16, 2020
• Publicly Available Date: Apr 21, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 169-173
• Book Title: 2018 21st International Conference on Electrical Machines and Systems (ICEMS)
• ISBN: 978-1-5386-6149-9
• DOI: https://doi.org/10.23919/ICEMS.2018.8549390
• Public URL: https://nottingham-repository.worktribe.com/output/4296964
• Publisher URL: https://ieeexplore.ieee.org/document/8549390
• Additional Information: © 2018 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.