@inproceedings{0310f3ca33d84f96a21e107bf124b6f4,
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",
series = "Proceedings of the IEEE International Conference on Industrial Technology",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "77--82",
booktitle = "Proceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020",
address = "United States",
}