Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data

Juan D. Valladolid; Henry D. Montesdeoca; Michelle B. Ortiz; Juan P. Ortiz

doi:10.1109/ICIT45562.2020.9067121

Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data

Juan D. Valladolid, Henry D. Montesdeoca, Michelle B. Ortiz, Juan P. Ortiz

Transportation Engineering Research Group (GIIT)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

This paper presents details of powertrain system modelling of an electric vehicle (EV), which is based on the permanent magnet synchronous motor (PMSM) mathematical models, the transmission and the longitudinal dynamic of the EV. The traction system parameters were estimated using the Nonlinear Minimum Square (NLS), algorithm and experimental data. Experiments and simulations were performed to verify the accuracy of the results and the effectiveness of the models. The system has been modeled and simulated by using the Matlab and Simulink platform.

Original language	English
Title of host publication	Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	939-944
Number of pages	6
ISBN (Electronic)	9781728157542
ISBN (Print)	9781728157542
DOIs	https://doi.org/10.1109/ICIT45562.2020.9067121
State	Published - Feb 2020
Event	21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina Duration: 26 Feb 2020 → 28 Feb 2020

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2020-February

Conference

Conference	21st IEEE International Conference on Industrial Technology, ICIT 2020
Country/Territory	Argentina
City	Buenos Aires
Period	26/02/20 → 28/02/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Electric Vehicle
Mathematical model
Optimization algorithm
Parameter estimation
Permanent Magnet Synchronous Motor

Access to Document

10.1109/ICIT45562.2020.9067121

Cite this

Valladolid, J. D., Montesdeoca, H. D., Ortiz, M. B., & Ortiz, J. P. (2020). Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data. In Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020 (pp. 939-944). Article 9067121 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2020-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT45562.2020.9067121

Valladolid, Juan D. ; Montesdeoca, Henry D. ; Ortiz, Michelle B. et al. / Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data. Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 939-944 (Proceedings of the IEEE International Conference on Industrial Technology).

@inproceedings{1d0d7909f56041f38676024846f7e517,

title = "Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data",

abstract = "This paper presents details of powertrain system modelling of an electric vehicle (EV), which is based on the permanent magnet synchronous motor (PMSM) mathematical models, the transmission and the longitudinal dynamic of the EV. The traction system parameters were estimated using the Nonlinear Minimum Square (NLS), algorithm and experimental data. Experiments and simulations were performed to verify the accuracy of the results and the effectiveness of the models. The system has been modeled and simulated by using the Matlab and Simulink platform.",

keywords = "Electric Vehicle, Mathematical model, Optimization algorithm, Parameter estimation, Permanent Magnet Synchronous Motor",

author = "Valladolid, {Juan D.} and Montesdeoca, {Henry D.} and Ortiz, {Michelle B.} and Ortiz, {Juan P.}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 21st IEEE International Conference on Industrial Technology, ICIT 2020 ; Conference date: 26-02-2020 Through 28-02-2020",

year = "2020",

month = feb,

doi = "10.1109/ICIT45562.2020.9067121",

language = "English",

isbn = "9781728157542",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "939--944",

booktitle = "Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020",

address = "United States",

}

Valladolid, JD, Montesdeoca, HD, Ortiz, MB & Ortiz, JP 2020, Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data. in Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020., 9067121, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2020-February, Institute of Electrical and Electronics Engineers Inc., pp. 939-944, 21st IEEE International Conference on Industrial Technology, ICIT 2020, Buenos Aires, Argentina, 26/02/20. https://doi.org/10.1109/ICIT45562.2020.9067121

Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data. / Valladolid, Juan D.; Montesdeoca, Henry D.; Ortiz, Michelle B. et al.
Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 939-944 9067121 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2020-February).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data

AU - Valladolid, Juan D.

AU - Montesdeoca, Henry D.

AU - Ortiz, Michelle B.

AU - Ortiz, Juan P.

PY - 2020/2

Y1 - 2020/2

N2 - This paper presents details of powertrain system modelling of an electric vehicle (EV), which is based on the permanent magnet synchronous motor (PMSM) mathematical models, the transmission and the longitudinal dynamic of the EV. The traction system parameters were estimated using the Nonlinear Minimum Square (NLS), algorithm and experimental data. Experiments and simulations were performed to verify the accuracy of the results and the effectiveness of the models. The system has been modeled and simulated by using the Matlab and Simulink platform.

AB - This paper presents details of powertrain system modelling of an electric vehicle (EV), which is based on the permanent magnet synchronous motor (PMSM) mathematical models, the transmission and the longitudinal dynamic of the EV. The traction system parameters were estimated using the Nonlinear Minimum Square (NLS), algorithm and experimental data. Experiments and simulations were performed to verify the accuracy of the results and the effectiveness of the models. The system has been modeled and simulated by using the Matlab and Simulink platform.

KW - Electric Vehicle

KW - Mathematical model

KW - Optimization algorithm

KW - Parameter estimation

KW - Permanent Magnet Synchronous Motor

UR - http://www.scopus.com/inward/record.url?scp=85084150760&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/71b64254-fc27-3d09-8fe2-a86b7a47fb8f/

U2 - 10.1109/ICIT45562.2020.9067121

DO - 10.1109/ICIT45562.2020.9067121

M3 - Conference contribution

AN - SCOPUS:85084150760

SN - 9781728157542

T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 939

EP - 944

BT - Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Conference on Industrial Technology, ICIT 2020

Y2 - 26 February 2020 through 28 February 2020

ER -

Valladolid JD, Montesdeoca HD, Ortiz MB, Ortiz JP. Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data. In Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 939-944. 9067121. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT45562.2020.9067121

Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this