DocumentCode
1765301
Title
Vehicle-to-Anything Application (V2Anything App) for Electric Vehicles
Author
Ferreira, J.C. ; Monteiro, V. ; Afonso, Joao L.
Author_Institution
Group of Energy & Power Electron., Univ. of Minho, Guimaraes, Portugal
Volume
10
Issue
3
fYear
2014
fDate
Aug. 2014
Firstpage
1927
Lastpage
1937
Abstract
This paper presents a mobile information system denominated as vehicle-to-anything application (V2Anything App) and explains its conceptual aspects. This application is aimed at giving relevant information to full electric vehicle (FEV) drivers by supporting the integration of several sources of data in a mobile application, thus contributing to the deployment of the electric mobility process. The V2Anything App provides recommendations to the drivers about the FEV range autonomy, location of battery charging stations, information of the electricity market, and also a route planner, taking into account the public transportations and car or bike sharing systems. The main contributions of this application are related to the creation of an information and communication technology platform, recommender systems, data integration systems, driver profile, and personalized range prediction. Thus, it is possible to deliver relevant information to the FEV drivers related to the electric mobility process, the electricity market, the public transportation, and the FEV performance.
Keywords
electric vehicles; mobile computing; power engineering computing; FEV drivers; V2Anything App; bike sharing system; data integration system; driver profile; full electric vehicle; mobile information system; personalized range prediction; public transportation; recommender system; vehicle-to-anything application; Batteries; Collaboration; Electric vehicles; Electricity supply industry; Mobile communication; Smart grids; Full electric vehicle (FEV); information and communication technology (ICT); mobile information system; public transportation; range anxiety; range autonomy;
fLanguage
English
Journal_Title
Industrial Informatics, IEEE Transactions on
Publisher
ieee
ISSN
1551-3203
Type
jour
DOI
10.1109/TII.2013.2291321
Filename
6670793
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