TY - GEN
T1 - AC Loss Analysis Approaches for Hairpin Winding Configuration: Analytical, Hybrid Model, and FEA
AU - Ghahfarokhi, Payam Shams
AU - Kallaste, Ants
AU - Podgornovs, Andrejs
AU - Cardoso, Antonio J.Marques
AU - Belahcen, Anouar
AU - Vaimann, Toomas
N1 - Funding Information:
This work was supported by The Estonian Research Council Grant (PRG-1827).
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - One of the effective options to achieve higher power density and lower-weight electric motors for electric vehicle (EV) applications is to replace the conventional winding with a hairpin configuration. This novel concept has several advantages, but the biggest drawback is high AC loss. Therefore, as this type of winding utilizes in EV motors for high-speed application, the correct estimations of this loss are essential during the design procedure. This paper presents three primary approaches to model and calculate the AC loss of hairpin windings: analytical, hybrid model, and FEA methods. In addition, the FEA method is used to validate and evaluate the accuracy of two other methods. Accordingly, both analytical and hybrid model results agree with FEA results. However, the hybrid model has higher accuracy rather than the analytical method.
AB - One of the effective options to achieve higher power density and lower-weight electric motors for electric vehicle (EV) applications is to replace the conventional winding with a hairpin configuration. This novel concept has several advantages, but the biggest drawback is high AC loss. Therefore, as this type of winding utilizes in EV motors for high-speed application, the correct estimations of this loss are essential during the design procedure. This paper presents three primary approaches to model and calculate the AC loss of hairpin windings: analytical, hybrid model, and FEA methods. In addition, the FEA method is used to validate and evaluate the accuracy of two other methods. Accordingly, both analytical and hybrid model results agree with FEA results. However, the hybrid model has higher accuracy rather than the analytical method.
KW - AC loss
KW - Analytical approach
KW - finite elements analysis
KW - hairpin winding
KW - hybrid model
UR - http://www.scopus.com/inward/record.url?scp=85171557385&partnerID=8YFLogxK
U2 - 10.1109/CPE-POWERENG58103.2023.10227403
DO - 10.1109/CPE-POWERENG58103.2023.10227403
M3 - Conference article in proceedings
AN - SCOPUS:85171557385
T3 - International Conference on Compatibility, Power Electronics and Power Engineering
BT - CPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering
PB - IEEE
T2 - IEEE International Conference on Compatibility, Power Electronics and Power Engineering
Y2 - 14 June 2023 through 16 June 2023
ER -