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Multi-objective Optimizations of Copper and Aluminum Hairpin Windings: a Comparison

Cutuli, Gregorio; Nuzzo, Stefano; Zou, Tianjie; Franceschini, Giovanni; Gerada, Chris; Barater, Davide

Authors

Gregorio Cutuli

Stefano Nuzzo

Giovanni Franceschini

Davide Barater



Abstract

This work critically analyzes the possibility of adopting aluminum hairpin windings as alternative to copper in electric traction machines for automotive applications. Copper and aluminum hairpin winding solutions are compared based on two proposed scenarios. In the first one, the same winding Joule losses are kept, whereas in the second scenario the same machine volume is maintained. In both cases, copper and aluminum solutions are independently optimized through a Multi-Objective Genetic Algorithm, with the aim of reaching the required peak torque performance, while reducing the weight and the losses in specific drive conditions. For both analyzed scenarios, the optimal designs are compared in terms of weight/volume, costs, power losses and sustainability. Finally, a hybrid layout consisting in adopting both conductor materials in the same slot is proposed, thus achieving a reasonable trade-off solution between performance and cost.

Citation

Cutuli, G., Nuzzo, S., Zou, T., Franceschini, G., Gerada, C., & Barater, D. (2023, October). Multi-objective Optimizations of Copper and Aluminum Hairpin Windings: a Comparison. Presented at 2023 IEEE Energy Conversion Congress and Exposition (ECCE), Nashville, TN, USA

Presentation Conference Type Edited Proceedings
Conference Name 2023 IEEE Energy Conversion Congress and Exposition (ECCE)
Start Date Oct 29, 2023
End Date Nov 2, 2023
Acceptance Date Oct 29, 2023
Online Publication Date Dec 29, 2023
Publication Date Oct 29, 2023
Deposit Date May 27, 2024
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Pages 3796-3801
Book Title 2023 IEEE Energy Conversion Congress and Exposition (ECCE)
ISBN 979-8-3503-1645-2
DOI https://doi.org/10.1109/ecce53617.2023.10362293
Public URL https://nottingham-repository.worktribe.com/output/29539810
Publisher URL https://ieeexplore.ieee.org/document/10362293