Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
Fuzzy Logic Based Driving Patterns Recognition System for Vehicle CO2 Emissions and Fuel Control
Submission Author:
Bernardo Murta , MG
Co-Authors:
Bernardo Murta, Augusto Campidelli, Alessandro Victorino, Antônio Maia
Presenter: Bernardo Murta
doi://10.26678/ABCM.COBEM2019.COB2019-1742
Abstract
Due to recent concerns about climate change as well as the rise in the mean global temperature, it was held in December 2015, in Paris, the 21st Conference of the Parties of the UNFCCC (United Nations Framework Convention on Climate Change) to set an agreement to reduce greenhouse gases emissions. Since the Automobile Industry is responsible for a large amount of CO2 and NOx emissions, a small reduction would be significant to the overall emission levels. In this context, several works relates a major part of the vehicular emissions contributions are due to the driver’s behavior or operational parameters that relates to the driver’s intention and style. For that purpose, this work aims to recognize driving styles based on fuzzy logic to easily obtain relevant information and present it to the user, in order to obtain significant reduction in fuel consumption and gases emissions. This system, therefore, will allow drivers to keep on track of its vehicle performance as well as help to reduce the effects on climate change in a long run. Since most recent vehicles have onboard multimedia units, the system implementation would not imply cost addition to automobile industries.
Keywords
Fuzzy logic, Vehicle Emissions, Fuel consumption, Onboard Diagnostics
