Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data

Juan D. Valladolid; Dario Paladines; Joffre Vidal; Diego Patino

doi:10.1109/ICIT45562.2020.9067208

Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data

Juan D. Valladolid, Dario Paladines, Joffre Vidal, Diego Patino

Grupo de Investigación en Ingeniería Del Transporte (GIIT)

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

Resumen

This document details the proposals of fuzzy controllers for improving the operating characteristics in electric vehicles (EV) through driving styles from experimental data. Fuzzy controllers were designed for following driving styles: aggressive, moderate and conservative; in order to improve the performance and comfort of the EV. For the acquisition of data, urban and extra-urban routes are used from the vehicle ECU through the On Board Diagnostics (OBD) II port. MATLAB simulations support the results obtained, indicating the performance of the proposed controllers, improving the performance and comfort of the EV, according to the selected driving style. Finally, statistical analysis is presented to quantitatively compare the results of the original and controlled signals.

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	77-82
Número de páginas	6
ISBN (versión digital)	9781728157542
ISBN (versión impresa)	9781728157542
DOI	https://doi.org/10.1109/ICIT45562.2020.9067208
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/ICIT45562.2020.9067208

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Valladolid, J. D., Paladines, D., Vidal, J., & Patino, D. (2020). Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data. En Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020 (pp. 77-82). Artículo 9067208 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2020-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT45562.2020.9067208

Valladolid, Juan D. ; Paladines, Dario ; Vidal, Joffre et al. / Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data. Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 77-82 (Proceedings of the IEEE International Conference on Industrial Technology).

@inproceedings{4110c4edd97648bb82dbaf404431ab53,

title = "Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data",

abstract = "This document details the proposals of fuzzy controllers for improving the operating characteristics in electric vehicles (EV) through driving styles from experimental data. Fuzzy controllers were designed for following driving styles: aggressive, moderate and conservative; in order to improve the performance and comfort of the EV. For the acquisition of data, urban and extra-urban routes are used from the vehicle ECU through the On Board Diagnostics (OBD) II port. MATLAB simulations support the results obtained, indicating the performance of the proposed controllers, improving the performance and comfort of the EV, according to the selected driving style. Finally, statistical analysis is presented to quantitatively compare the results of the original and controlled signals.",

keywords = "Driving style, Electric Vehicle, Fuzzy controller, Target tracking",

author = "Valladolid, {Juan D.} and Dario Paladines and Joffre Vidal and Diego Patino",

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/ICIT45562.2020.9067208",

language = "English",

isbn = "9781728157542",

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

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

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Valladolid, JD, Paladines, D, Vidal, J & Patino, D 2020, Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data. En Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020., 9067208, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2020-February, Institute of Electrical and Electronics Engineers Inc., pp. 77-82, 21st IEEE International Conference on Industrial Technology, ICIT 2020, Buenos Aires, Argentina, 26/02/20. https://doi.org/10.1109/ICIT45562.2020.9067208

Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data. / Valladolid, Juan D.; Paladines, Dario; Vidal, Joffre et al.
Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 77-82 9067208 (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 - Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data

AU - Valladolid, Juan D.

AU - Paladines, Dario

AU - Vidal, Joffre

AU - Patino, Diego

PY - 2020/2

Y1 - 2020/2

N2 - This document details the proposals of fuzzy controllers for improving the operating characteristics in electric vehicles (EV) through driving styles from experimental data. Fuzzy controllers were designed for following driving styles: aggressive, moderate and conservative; in order to improve the performance and comfort of the EV. For the acquisition of data, urban and extra-urban routes are used from the vehicle ECU through the On Board Diagnostics (OBD) II port. MATLAB simulations support the results obtained, indicating the performance of the proposed controllers, improving the performance and comfort of the EV, according to the selected driving style. Finally, statistical analysis is presented to quantitatively compare the results of the original and controlled signals.

AB - This document details the proposals of fuzzy controllers for improving the operating characteristics in electric vehicles (EV) through driving styles from experimental data. Fuzzy controllers were designed for following driving styles: aggressive, moderate and conservative; in order to improve the performance and comfort of the EV. For the acquisition of data, urban and extra-urban routes are used from the vehicle ECU through the On Board Diagnostics (OBD) II port. MATLAB simulations support the results obtained, indicating the performance of the proposed controllers, improving the performance and comfort of the EV, according to the selected driving style. Finally, statistical analysis is presented to quantitatively compare the results of the original and controlled signals.

KW - Driving style

KW - Electric Vehicle

KW - Fuzzy controller

KW - Target tracking

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

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Valladolid JD, Paladines D, Vidal J, Patino D. Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data. En Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 77-82. 9067208. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT45562.2020.9067208

Proposal of fuzzy controllers for improve features of driven style in electric vehicles using experimental route data

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