TY - GEN
T1 - Design of a 1MW-Class Permanent Magnet Machine Featuring Multiphase Hairpin Windings for Electric Aircraft Propulsion
AU - Huynh, Anh Thanh
AU - Huang, Hailin
AU - Jiang, Jianan
AU - Zou, Tianjie
AU - Gerada, David
AU - Yang, Tao
AU - Gerada, Chris
AU - Hsieh, Min Fu
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The electrification of aircraft propulsion necessitates significantly higher efficiency, power density, and fault-tolerant reliability in electric machines compared to current models. This paper examines the integration of hairpin technology with multiphase windings, proposing a 6-phase hairpin winding configuration for 1 MW permanent magnet (PM) machines featuring 96 slots and 16 poles. This design, in comparison to similar 3-phase PM machines, eliminates undesirable space harmonics in the stator magnetic motive force (MMF), reduces eddy current losses in the rotor PM, and lowers AC losses in the hairpin windings. Furthermore, it enhances power density by allowing a more compact stack length. To optimize the power density and efficiency of the proposed machine, a Multi-Objective Genetic Algorithm (MOGA) is employed. Finite element analysis (FEA) suggests that this improvement could boost power density to 35-40 kW/kg (for active mass), compared to the state-of-the-art 1 MW machines that use other winding technologies, such as Litz wire and high-temperature superconducting (HTS), which achieve 20-25 kW/kg.
AB - The electrification of aircraft propulsion necessitates significantly higher efficiency, power density, and fault-tolerant reliability in electric machines compared to current models. This paper examines the integration of hairpin technology with multiphase windings, proposing a 6-phase hairpin winding configuration for 1 MW permanent magnet (PM) machines featuring 96 slots and 16 poles. This design, in comparison to similar 3-phase PM machines, eliminates undesirable space harmonics in the stator magnetic motive force (MMF), reduces eddy current losses in the rotor PM, and lowers AC losses in the hairpin windings. Furthermore, it enhances power density by allowing a more compact stack length. To optimize the power density and efficiency of the proposed machine, a Multi-Objective Genetic Algorithm (MOGA) is employed. Finite element analysis (FEA) suggests that this improvement could boost power density to 35-40 kW/kg (for active mass), compared to the state-of-the-art 1 MW machines that use other winding technologies, such as Litz wire and high-temperature superconducting (HTS), which achieve 20-25 kW/kg.
KW - aircraft propulsion
KW - hairpin winding
KW - more-electric aircraft
KW - multiphase motors
KW - winding technology
UR - http://www.scopus.com/inward/record.url?scp=85212857613&partnerID=8YFLogxK
U2 - 10.1109/VPPC63154.2024.10755419
DO - 10.1109/VPPC63154.2024.10755419
M3 - Conference contribution
AN - SCOPUS:85212857613
T3 - 2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings
BT - 2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Vehicle Power and Propulsion Conference, VPPC 2024
Y2 - 7 October 2024 through 10 October 2024
ER -