Details
| Original language | English |
|---|---|
| Title of host publication | IECON 2023 |
| Subtitle of host publication | 49th Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE Computer Society |
| ISBN (electronic) | 9798350331820 |
| ISBN (print) | 979-8-3503-3183-7 |
| Publication status | Published - 2023 |
| Event | IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| ISSN (Print) | 2162-4704 |
| ISSN (electronic) | 2577-1647 |
Abstract
Hairpin windings are widely used in state-of-the-art traction motors in electric vehicles. The main advantages over traditional round wire windings are the high copper fill factor and thus lower losses and thermal resistance, the short winding head, and a highly automatable manufacturing process. Hairpin windings offer an additional degree of freedom in connecting the conductors of the stator winding in the winding head, which can be used to improve the motor's electrical performance, such as being more resilient to the formation of circulating branch currents. However, due to the high complexity, evaluating every single possible winding configuration often exceeds the computational limits of today's computer hardware. This paper presents a fast and efficient new method to determine viable winding configurations using a new definition to describe the winding and an algorithm that utilizes termination criteria to quickly filter through all possible configurations. Its high modularity enables the developed software to be applied to any electric machine and allows for easy extension.
Keywords
- automated design, electric vehicles, Hairpin winding, traction, winding design
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
IECON 2023 : 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Method for Efficient Generation of Preferable Hairpin Winding Diagrams
AU - Eschenmann, Leander Philipp
AU - Aufderheide, Sven
AU - Ponick, Bernd
PY - 2023
Y1 - 2023
N2 - Hairpin windings are widely used in state-of-the-art traction motors in electric vehicles. The main advantages over traditional round wire windings are the high copper fill factor and thus lower losses and thermal resistance, the short winding head, and a highly automatable manufacturing process. Hairpin windings offer an additional degree of freedom in connecting the conductors of the stator winding in the winding head, which can be used to improve the motor's electrical performance, such as being more resilient to the formation of circulating branch currents. However, due to the high complexity, evaluating every single possible winding configuration often exceeds the computational limits of today's computer hardware. This paper presents a fast and efficient new method to determine viable winding configurations using a new definition to describe the winding and an algorithm that utilizes termination criteria to quickly filter through all possible configurations. Its high modularity enables the developed software to be applied to any electric machine and allows for easy extension.
AB - Hairpin windings are widely used in state-of-the-art traction motors in electric vehicles. The main advantages over traditional round wire windings are the high copper fill factor and thus lower losses and thermal resistance, the short winding head, and a highly automatable manufacturing process. Hairpin windings offer an additional degree of freedom in connecting the conductors of the stator winding in the winding head, which can be used to improve the motor's electrical performance, such as being more resilient to the formation of circulating branch currents. However, due to the high complexity, evaluating every single possible winding configuration often exceeds the computational limits of today's computer hardware. This paper presents a fast and efficient new method to determine viable winding configurations using a new definition to describe the winding and an algorithm that utilizes termination criteria to quickly filter through all possible configurations. Its high modularity enables the developed software to be applied to any electric machine and allows for easy extension.
KW - automated design
KW - electric vehicles
KW - Hairpin winding
KW - traction
KW - winding design
UR - http://www.scopus.com/inward/record.url?scp=85179507210&partnerID=8YFLogxK
U2 - 10.1109/IECON51785.2023.10312713
DO - 10.1109/IECON51785.2023.10312713
M3 - Conference contribution
AN - SCOPUS:85179507210
SN - 979-8-3503-3183-7
T3 - IECON Proceedings (Industrial Electronics Conference)
BT - IECON 2023
PB - IEEE Computer Society
T2 - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
Y2 - 16 October 2023 through 19 October 2023
ER -