Advanced search
1 file | 220.27 KB Add to list

Scheduled maintenance: Publication downloads temporarily unavailable.

Due to maintenance publication downloads will not be available on:

  • Wednesday, March 27, 17:00 – 21:00
  • Thursday, March 28, 17:00 – 21:00

Exports of lists, FWO and BOF information will remain available.

For any questions, please contact biblio@ugent.be. Apologies for any inconveniences, and thank you for your understanding.

Energetic macroscopic representation of scalable PMSM for electric vehicles

Author
Organization
Abstract
In this paper, an innovative model structuration is proposed to describe scaled Permanent Magnet Synchronous Machines (PMSM) at system level. By using the Energetic Macroscopic Representation formalism (EMR), the equations of the scaling laws are reorganized. The restructuration consists of a reference PMSM model complemented with two electrical and mechanical power adaptation elements. These latter elements take care of the scaling effects, including the power losses. The methodology is applied to scale the power of a PMSM for an electric vehicle, by a factor of 2. According to the studied designs, an average efficiency from 83.7% to 87.1% is obtained during an urban driving cycle. the scaling effects, including the power losses. The methodology is applied to scale the power of a PMSM for an electric vehicle, by a factor of 2. According to the studied designs, an average efficiency from 83.7% to 87.1% is obtained during an urban driving cycle.
Keywords
Energetic macroscopic representation, PMSM, battery electric vehicles, scalability, scaling laws, losses

Downloads

  • (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 220.27 KB

Citation

Please use this url to cite or link to this publication:

MLA
Lhomme, Walter, et al. “Energetic Macroscopic Representation of Scalable PMSM for Electric Vehicles.” 2020 IEEE Vehicle Power and Propulsion Conference (VPPC), IEEE, 2020, doi:10.1109/vppc49601.2020.9330981.
APA
Lhomme, W., Verbelen, F., Ibrahim, M., & Stockman, K. (2020). Energetic macroscopic representation of scalable PMSM for electric vehicles. 2020 IEEE Vehicle Power and Propulsion Conference (VPPC). Presented at the 2020 IEEE Vehicle Power and Propulsion Conference (VPPC), Gijon, Spain. https://doi.org/10.1109/vppc49601.2020.9330981
Chicago author-date
Lhomme, Walter, Florian Verbelen, Mohamed Ibrahim, and Kurt Stockman. 2020. “Energetic Macroscopic Representation of Scalable PMSM for Electric Vehicles.” In 2020 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE. https://doi.org/10.1109/vppc49601.2020.9330981.
Chicago author-date (all authors)
Lhomme, Walter, Florian Verbelen, Mohamed Ibrahim, and Kurt Stockman. 2020. “Energetic Macroscopic Representation of Scalable PMSM for Electric Vehicles.” In 2020 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE. doi:10.1109/vppc49601.2020.9330981.
Vancouver
1.
Lhomme W, Verbelen F, Ibrahim M, Stockman K. Energetic macroscopic representation of scalable PMSM for electric vehicles. In: 2020 IEEE Vehicle Power and Propulsion Conference (VPPC). IEEE; 2020.
IEEE
[1]
W. Lhomme, F. Verbelen, M. Ibrahim, and K. Stockman, “Energetic macroscopic representation of scalable PMSM for electric vehicles,” in 2020 IEEE Vehicle Power and Propulsion Conference (VPPC), Gijon, Spain, 2020.
@inproceedings{8708953,
  abstract     = {{In this paper, an innovative model structuration is proposed to describe scaled Permanent Magnet Synchronous Machines (PMSM) at system level. By using the Energetic Macroscopic Representation formalism (EMR), the equations of the scaling laws are reorganized. The restructuration consists of a reference PMSM model complemented with two electrical and mechanical power adaptation elements. These latter elements take care of the scaling effects, including the power losses. The methodology is applied to scale the power of a PMSM for an electric vehicle, by a factor of 2. According to the studied designs, an average efficiency from 83.7% to 87.1% is obtained during an urban driving cycle.
the scaling effects, including the power losses. The methodology is
applied to scale the power of a PMSM for an electric vehicle, by a
factor of 2. According to the studied designs, an average efficiency
from 83.7% to 87.1% is obtained during an urban driving cycle.}},
  author       = {{Lhomme, Walter and Verbelen, Florian and Ibrahim, Mohamed and Stockman, Kurt}},
  booktitle    = {{2020 IEEE Vehicle Power and Propulsion Conference (VPPC)}},
  isbn         = {{9781728189598}},
  issn         = {{1938-8756}},
  keywords     = {{Energetic macroscopic representation,PMSM,battery electric vehicles,scalability,scaling laws,losses}},
  language     = {{eng}},
  location     = {{Gijon, Spain}},
  pages        = {{6}},
  publisher    = {{IEEE}},
  title        = {{Energetic macroscopic representation of scalable PMSM for electric vehicles}},
  url          = {{http://doi.org/10.1109/vppc49601.2020.9330981}},
  year         = {{2020}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: