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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages77-82
Number of pages6
ISBN (Electronic)9781728157542
ISBN (Print)9781728157542
DOIs
StatePublished - Feb 2020
Event21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duration: 26 Feb 202028 Feb 2020

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2020-February

Conference

Conference21st IEEE International Conference on Industrial Technology, ICIT 2020
Country/TerritoryArgentina
CityBuenos Aires
Period26/02/2028/02/20

Keywords

  • Driving style
  • Electric Vehicle
  • Fuzzy controller
  • Target tracking

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