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

Grupo de Investigación en Ingeniería Del Transporte (GIIT)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	939-944
Número de páginas	6
ISBN (versión digital)	9781728157542
ISBN (versión impresa)	9781728157542
DOI	https://doi.org/10.1109/ICIT45562.2020.9067121
Estado	Publicada - feb. 2020
Evento	21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina Duración: 26 feb. 2020 → 28 feb. 2020

Serie de la publicación

Nombre	Proceedings of the IEEE International Conference on Industrial Technology
Volumen	2020-February

Conferencia

Conferencia	21st IEEE International Conference on Industrial Technology, ICIT 2020
País/Territorio	Argentina
Ciudad	Buenos Aires
Período	26/02/20 → 28/02/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

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10.1109/ICIT45562.2020.9067121

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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. En Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020 (pp. 939-944). Artículo 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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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

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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

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Valladolid JD, Montesdeoca HD, Ortiz MB, Ortiz JP. Optimal adjustment of parameters for the powertrain model of an electric vehicle using experimental data. En 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

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