Electromagnetic-thermal modeling for high-frequency air-core permanent magnet motor of aircraft application

A 1 MW high-frequency air-core permanent-magnet (PM) motor, with power density over 13.8 kW/kg (8 hp/lb) and efficiency over 96\%, is proposed for NASA hybrid-electric aircraft application. In order to maximize power density of the proposed motor topology, a large-scale multi-physics optimization is needed to obtain the best design candidates, which is not favorable for current electrical machine software. Therefore, developing electromagnetic (EM) and thermal analytical methods with computational efficiency and decent accuracy is a key enabling factor for future multi-physics optimization of motor power density. In this thesis, the detailed development process of electromagnetic analytical modeling for the proposed machine will be presented and verified with finite element analysis (FEA). Corresponding heat loads, including electrical and mechanical losses, will be quantified rigorously to assess efficiency and prepare for the following thermal analysis. Furthermore, accurate physical-thermal conductivities of different machine components are required to eliminate uncertainties in thermal performance prediction. One arising challenge is to quantify the equivalent thermal conductivity of a complicated composite component --- the winding --- which is also the most critical one regarding overheating risks. Detailed methods of quantifying winding equivalent thermal conductivity will be presented, discussed, and verified with a bench test. The last step in EM-thermal modeling is using a simplified thermal equivalent circuit to quickly detect hotspot temperature and therefore to eliminate infeasible machine designs efficiently. Similar to EM modeling, rigorous thermal analytical modeling will be presented and verified with FEA results.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Yi, Xuan

Contributors dc:contributor

• Haran, Kiruba

• Electrical Machines
• Multi-Physics Modeling

Statement dc:rights

• Copyright 2016 Xuan Yi

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/95407

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/95407