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

Transportation Engineering Research Group (GIIT)

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

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.

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	77-82
Number of pages	6
ISBN (Electronic)	9781728157542
ISBN (Print)	9781728157542
DOIs	https://doi.org/10.1109/ICIT45562.2020.9067208
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

Driving style
Electric Vehicle
Fuzzy controller
Target tracking

Access to Document

10.1109/ICIT45562.2020.9067208

Cite this

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. In Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020 (pp. 77-82). Article 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).

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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",

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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. in 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).

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

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AU - Vidal, Joffre

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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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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. In 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

Abstract

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Keywords

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