Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/38606

TitleDynamic range prediction for an electric vehicle
Author(s)Ferreira, João C.
Monteiro, Vítor Duarte Fernandes
Afonso, João L.
KeywordsElectric Vehicle
Range Prediction
Data Mining
Range Anxiety
Driver Profile
Issue date2014
PublisherIEEE
Abstract(s)Electric Vehicles (EVs) have limited energy storage capacity and the maximum autonomy range is strongly dependent of the driver's behaviour. Due to the fact of that batteries cannot be recharged quickly during a journey, it is essential that a precise range prediction is available to the driver of the EV. With this information, it is possible to check if the desirable destination is achievable without a stop to charge the batteries, or even, if to reach the destination it is necessary to perform an optimized driving (e.g., cutting the air-conditioning, among others EV parameters). The outcome of this research work is the development of an Electric Vehicle Assistant (EVA). This is an application for mobile devices that will help users to take efficient decisions about route planning, charging management and energy efficiency. Therefore, it will contribute to foster EVs adoption as a new paradigm in the transportation sector.
TypeConference paper
URIhttps://hdl.handle.net/1822/38606
ISBN9781479938322
DOI10.1109/EVS.2013.6914832
Publisher versionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6914832
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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