Details
Originalsprache | Englisch |
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Titel des Sammelwerks | 2022 International Conference on Electrical Machines and Systems, ICEMS 2022 |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
ISBN (elektronisch) | 9781665493024 |
ISBN (Print) | 9781665493031 |
Publikationsstatus | Veröffentlicht - 2022 |
Veranstaltung | 25th International Conference on Electrical Machines and Systems, ICEMS 2022 - Virtual, Online, Thailand Dauer: 29 Nov. 2022 → 2 Dez. 2022 |
Publikationsreihe
Name | 2022 International Conference on Electrical Machines and Systems, ICEMS 2022 |
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Abstract
To meet the challenge of all-electric flight, e-motors with particularly high power density are necessary, PM synchronous machines being a preferable motor type. The rotor of an e-motor is a key factor determining its characteristics and thus also its power density. There is a wide range of rotor topologies with an even wider range of parameters to choose from. Since flux density directly affects torque generation, the idea is to determine which rotor topology achieves the best main spatial harmonic flux density to rotor weight ratio. For this purpose, a multiobjective genetic algorithm was used, which finds the best solutions in sufficient time despite the large parameter range. The evaluation of about 25000 results shows that surface mounted configurations such as traditional surface magnets or a Halbach-Array configuration provide good solutions. However, for a high torque, high current density approach, spoke-type magnets are the best, since they have advantages in terms of demagnetization. For a high-speed, low pole pair approach, V-shaped buried magnets seem to lead to the best solution. The presented approach provides a possibility to perform a pre-selection of rotor topologies, but requires more detailed application-specific investigations.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Maschinenbau
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- BibTex
- RIS
2022 International Conference on Electrical Machines and Systems, ICEMS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference on Electrical Machines and Systems, ICEMS 2022).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - First Step to Optimum Rotor Design for E-Motors with High Power Density for Aircraft Propulsion
AU - Keuter, Ralf Johannes
AU - Ponick, Bernd
N1 - Funding Information: We would like to acknowledge the funding from the Deutsche Forschungs-gemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC 2163/1 Sustainable and Energy Efficient Aviation Project ID 390881007.
PY - 2022
Y1 - 2022
N2 - To meet the challenge of all-electric flight, e-motors with particularly high power density are necessary, PM synchronous machines being a preferable motor type. The rotor of an e-motor is a key factor determining its characteristics and thus also its power density. There is a wide range of rotor topologies with an even wider range of parameters to choose from. Since flux density directly affects torque generation, the idea is to determine which rotor topology achieves the best main spatial harmonic flux density to rotor weight ratio. For this purpose, a multiobjective genetic algorithm was used, which finds the best solutions in sufficient time despite the large parameter range. The evaluation of about 25000 results shows that surface mounted configurations such as traditional surface magnets or a Halbach-Array configuration provide good solutions. However, for a high torque, high current density approach, spoke-type magnets are the best, since they have advantages in terms of demagnetization. For a high-speed, low pole pair approach, V-shaped buried magnets seem to lead to the best solution. The presented approach provides a possibility to perform a pre-selection of rotor topologies, but requires more detailed application-specific investigations.
AB - To meet the challenge of all-electric flight, e-motors with particularly high power density are necessary, PM synchronous machines being a preferable motor type. The rotor of an e-motor is a key factor determining its characteristics and thus also its power density. There is a wide range of rotor topologies with an even wider range of parameters to choose from. Since flux density directly affects torque generation, the idea is to determine which rotor topology achieves the best main spatial harmonic flux density to rotor weight ratio. For this purpose, a multiobjective genetic algorithm was used, which finds the best solutions in sufficient time despite the large parameter range. The evaluation of about 25000 results shows that surface mounted configurations such as traditional surface magnets or a Halbach-Array configuration provide good solutions. However, for a high torque, high current density approach, spoke-type magnets are the best, since they have advantages in terms of demagnetization. For a high-speed, low pole pair approach, V-shaped buried magnets seem to lead to the best solution. The presented approach provides a possibility to perform a pre-selection of rotor topologies, but requires more detailed application-specific investigations.
KW - Aicraft propulsion
KW - all-electric aircraft
KW - multiobjectiv genetic algorithm
KW - permanent-magnet synchronous machine (PMSM)
KW - rotor design
UR - http://www.scopus.com/inward/record.url?scp=85146323237&partnerID=8YFLogxK
U2 - 10.1109/ICEMS56177.2022.9982946
DO - 10.1109/ICEMS56177.2022.9982946
M3 - Conference contribution
AN - SCOPUS:85146323237
SN - 9781665493031
T3 - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022
BT - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th International Conference on Electrical Machines and Systems, ICEMS 2022
Y2 - 29 November 2022 through 2 December 2022
ER -