Development of an Algorithm Capable of Classifying the Starting, Gear Change and Engine Brake Variables of a Vehicle by Analyzing OBD II Signals

Rivera Campoverde Néstor Diego, Paúl Andrés Molina Campoverde, Gina Pamela Quirola Novillo, Andrea Karina Naula Bermeo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

The present project shows an algorithm capable of visualizing the behavior of the PID signals of a vehicle by identifying common driving maneuvers such as: starting, changing gear and engine braking during a road test. The data of this study were acquired through the OBD-II connector of a vehicle, by means of a data logger device capable of collecting the information and writing it to a data file. Later the data is post processed in MATLAB® using the unsupervised learning method k-means. Finally, the results obtained by the algorithm are able to discriminate the erroneous values of the signals by means of a multivariate statistical analysis that classifies the study variables: start, gear change and engine brake.

Original languageEnglish
Title of host publicationSystems and Information Sciences - Proceedings of ICCIS 2020
EditorsMiguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
PublisherSpringer Science and Business Media Deutschland GmbH
Pages121-133
Number of pages13
ISBN (Print)9783030591939
DOIs
StatePublished - 2021
Event1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador
Duration: 27 Jul 202029 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1273 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference1st International Conference on Systems and Information Sciences, ICCIS 2020
Country/TerritoryEcuador
CityManta
Period27/07/2029/07/20

Bibliographical note

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Engine brake
  • Gear change
  • k-means
  • OBD II
  • Start

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