Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 2398-2404 |
| Seitenumfang | 7 |
| ISBN (elektronisch) | 9784886864406 |
| ISBN (Print) | 979-8-3503-7910-5 |
| Publikationsstatus | Veröffentlicht - 26 März 2024 |
| Veranstaltung | 27th International Conference on Electrical Machines and Systems, ICEMS 2024 - Fukuoka, Japan Dauer: 26 Nov. 2024 → 29 Nov. 2024 |
Publikationsreihe
| Name | International Conference on Electrical Machines and Systems |
|---|---|
| ISSN (Print) | 2640-7841 |
| ISSN (elektronisch) | 2642-5513 |
Abstract
This paper presents a method for designing electrically excited synchronous motors for traction applications. The initial stages of motor design are often based on empirical values, potentially ignoring preferable options. In order to overcome this issue, this paper proposes a finite element analysis coupled optimisation using genetic algorithms that allow efficient evaluation of a large solution space. For parameters described by integers, e.g. number of turns per pole and phase, a theoretically optimal number is calculated in order to minimise the volume of the machine while achieving the desired efficiency and output power. The results are then used in a final optimisation that considers feasible winding configurations, including constraints specific to hairpin windings.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
- Ingenieurwesen (insg.)
- Maschinenbau
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024. Institute of Electrical and Electronics Engineers Inc., 2024. S. 2398-2404 (International Conference on Electrical Machines and Systems).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Design of Electrically Excited Synchronous Motors for Traction Applications Using Optimisation with Genetic Algorithms
AU - Eschenmann, Leander Philipp
AU - Nörenberg, Christian
AU - Ponick, Bernd
N1 - Publisher Copyright: © 2024 The Institute of Electrical Engineers of Japan.
PY - 2024/3/26
Y1 - 2024/3/26
N2 - This paper presents a method for designing electrically excited synchronous motors for traction applications. The initial stages of motor design are often based on empirical values, potentially ignoring preferable options. In order to overcome this issue, this paper proposes a finite element analysis coupled optimisation using genetic algorithms that allow efficient evaluation of a large solution space. For parameters described by integers, e.g. number of turns per pole and phase, a theoretically optimal number is calculated in order to minimise the volume of the machine while achieving the desired efficiency and output power. The results are then used in a final optimisation that considers feasible winding configurations, including constraints specific to hairpin windings.
AB - This paper presents a method for designing electrically excited synchronous motors for traction applications. The initial stages of motor design are often based on empirical values, potentially ignoring preferable options. In order to overcome this issue, this paper proposes a finite element analysis coupled optimisation using genetic algorithms that allow efficient evaluation of a large solution space. For parameters described by integers, e.g. number of turns per pole and phase, a theoretically optimal number is calculated in order to minimise the volume of the machine while achieving the desired efficiency and output power. The results are then used in a final optimisation that considers feasible winding configurations, including constraints specific to hairpin windings.
KW - design
KW - electrical drives
KW - genetic algorithms
KW - hairpin winding
KW - meta-modelling
KW - optimisation
KW - synchronous motors
KW - traction
UR - http://www.scopus.com/inward/record.url?scp=105002370047&partnerID=8YFLogxK
U2 - 10.23919/ICEMS60997.2024.10921183
DO - 10.23919/ICEMS60997.2024.10921183
M3 - Conference contribution
AN - SCOPUS:105002370047
SN - 979-8-3503-7910-5
T3 - International Conference on Electrical Machines and Systems
SP - 2398
EP - 2404
BT - 2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th International Conference on Electrical Machines and Systems, ICEMS 2024
Y2 - 26 November 2024 through 29 November 2024
ER -