
Energetic macroscopic representation-based scaling laws of PMSM for electric vehicles simulations
- Author
- Ayoub Aroua (UGent) , Walter Lhomme, Florian Verbelen (UGent) , Alain Bouscayrol, Peter Sergeant (UGent) and Kurt Stockman (UGent)
- Organization
- Abstract
- The paper presents a method for structuring a scalable model of a permanent magnet synchronous machine in a manner that facilitates its integration into system-level simulations. This is achieved by utilizing the energetic macroscopic representation formalism to organize the equations of the scaling laws. The model comprises a fixed reference permanent magnet synchronous machine model that is complemented with two electrical and mechanical power adaptation elements to ensure scalability. Three scaling choices are analyzed, and the findings reveal that the equations for the power adaptation elements differ based on the selected scaling choice.
- Keywords
- Energetic Macroscopic Representation, electric machine scaling, scaling factors, scalable models
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HF4F6S1MNJPASF91WV7GMSSQ
- MLA
- Aroua, Ayoub, et al. “Energetic Macroscopic Representation-Based Scaling Laws of PMSM for Electric Vehicles Simulations.” 5ème Symposium de Génie Électrique (SGE 2023), Proceedings, 2023.
- APA
- Aroua, A., Lhomme, W., Verbelen, F., Bouscayrol, A., Sergeant, P., & Stockman, K. (2023). Energetic macroscopic representation-based scaling laws of PMSM for electric vehicles simulations. 5ème Symposium de Génie Électrique (SGE 2023), Proceedings. Presented at the 5ème Symposium de Génie Électrique (SGE 2023), Lille, France.
- Chicago author-date
- Aroua, Ayoub, Walter Lhomme, Florian Verbelen, Alain Bouscayrol, Peter Sergeant, and Kurt Stockman. 2023. “Energetic Macroscopic Representation-Based Scaling Laws of PMSM for Electric Vehicles Simulations.” In 5ème Symposium de Génie Électrique (SGE 2023), Proceedings.
- Chicago author-date (all authors)
- Aroua, Ayoub, Walter Lhomme, Florian Verbelen, Alain Bouscayrol, Peter Sergeant, and Kurt Stockman. 2023. “Energetic Macroscopic Representation-Based Scaling Laws of PMSM for Electric Vehicles Simulations.” In 5ème Symposium de Génie Électrique (SGE 2023), Proceedings.
- Vancouver
- 1.Aroua A, Lhomme W, Verbelen F, Bouscayrol A, Sergeant P, Stockman K. Energetic macroscopic representation-based scaling laws of PMSM for electric vehicles simulations. In: 5ème Symposium de Génie Électrique (SGE 2023), Proceedings. 2023.
- IEEE
- [1]A. Aroua, W. Lhomme, F. Verbelen, A. Bouscayrol, P. Sergeant, and K. Stockman, “Energetic macroscopic representation-based scaling laws of PMSM for electric vehicles simulations,” in 5ème Symposium de Génie Électrique (SGE 2023), Proceedings, Lille, France, 2023.
@inproceedings{01HF4F6S1MNJPASF91WV7GMSSQ, abstract = {{The paper presents a method for structuring a scalable model of a permanent magnet synchronous machine in a manner that facilitates its integration into system-level simulations. This is achieved by utilizing the energetic macroscopic representation formalism to organize the equations of the scaling laws. The model comprises a fixed reference permanent magnet synchronous machine model that is complemented with two electrical and mechanical power adaptation elements to ensure scalability. Three scaling choices are analyzed, and the findings reveal that the equations for the power adaptation elements differ based on the selected scaling choice.}}, author = {{Aroua, Ayoub and Lhomme, Walter and Verbelen, Florian and Bouscayrol, Alain and Sergeant, Peter and Stockman, Kurt}}, booktitle = {{5ème Symposium de Génie Électrique (SGE 2023), Proceedings}}, keywords = {{Energetic Macroscopic Representation,electric machine scaling,scaling factors,scalable models}}, language = {{eng}}, location = {{Lille, France}}, pages = {{5}}, title = {{Energetic macroscopic representation-based scaling laws of PMSM for electric vehicles simulations}}, year = {{2023}}, }