TY - GEN
T1 - Multi-physics optimization for high-frequency air-core permanent-magnet motor of aircraft application
AU - Yi, Xuan
AU - Yoon, Andy
AU - Haran, Kiruba S.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/3
Y1 - 2017/8/3
N2 - High-specific-power electrical machines are a key enabling technology of electric aircraft propulsion. The machine specific power (power-To-weight ratio) is usually constrained by the thermal and mechanical properties of material. To maximize machine specific power, electrical, thermal and mechanical capabilities have to be considered together. In this paper, an efficient multi-physics model of a high-frequency air-core Halbach-Array PM motor, has been developed for the use of a large-scale genetic-Algorithm-based optimization. The detailed electromagnetic (EM) and thermal models, and finite-element-Analysis (FEA) validation, are presented and discussed. Effects of key machine sizing parameters, such as speed, rotor volume, magnetic loading, and electric loading, in the multi-disciplines and objectives optimization, will be presented and discussed.
AB - High-specific-power electrical machines are a key enabling technology of electric aircraft propulsion. The machine specific power (power-To-weight ratio) is usually constrained by the thermal and mechanical properties of material. To maximize machine specific power, electrical, thermal and mechanical capabilities have to be considered together. In this paper, an efficient multi-physics model of a high-frequency air-core Halbach-Array PM motor, has been developed for the use of a large-scale genetic-Algorithm-based optimization. The detailed electromagnetic (EM) and thermal models, and finite-element-Analysis (FEA) validation, are presented and discussed. Effects of key machine sizing parameters, such as speed, rotor volume, magnetic loading, and electric loading, in the multi-disciplines and objectives optimization, will be presented and discussed.
UR - http://www.scopus.com/inward/record.url?scp=85030314180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85030314180&partnerID=8YFLogxK
U2 - 10.1109/IEMDC.2017.8002293
DO - 10.1109/IEMDC.2017.8002293
M3 - Conference contribution
AN - SCOPUS:85030314180
T3 - 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
BT - 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
Y2 - 21 May 2017 through 24 May 2017
ER -