Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Energy consumption estimation in electric vehicles considering driving style
Year:2015
Research Areas
  • Electronic technology and of the communications,
  • Mechanical engineering
Information
Abstract
The limitation on the range of electric vehicles makes quite important to use an accurate energy consumption estimation tool. In general, estimations are based solely on the total distance, although it is known that the characteristics of the route and driving style influence significantly on energy consumption. In this paper, a tool that estimates the energy consumption of an electric vehicle in a city route taking into account such variables is shown, but without needing a deterministic knowledge of the characteristics of the vehicle or driving cycles. To do this, a neural network that takes as input data driving style and route variables is used. The validation results have been quite satisfactory to increase reliability in predicting consumption of the vehicle and enhance user confidence in the capabilities of electric vehicles.
International
Si
Congress
18th International IEEE Conference on Intelligent Transportation Systems - ITSC 2015
960
Place
Las Palmas
Reviewers
Si
ISBN/ISSN
978-1-4673-6595-6
Start Date
15/09/2015
End Date
18/09/2015
From page
1
To page
8
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
Participants
  • Autor: Felipe Jimenez Alonso (UPM)
  • Autor: Jose Eugenio Naranjo Hernandez (UPM)
  • Autor: Francisco Serradilla Garcia (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Inv. en Seguridad e Impacto Medioambiental de Vehículos y Transportes (GIVET)
  • Centro o Instituto I+D+i: Instituto Universitario de Investigación del Automóvil (INSIA)
  • Departamento: Inteligencia Artificial
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