Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/19439

TitleData mining approach for range prediction of electric vehicle
Author(s)Ferreira, João C.
Monteiro, Vítor Duarte Fernandes
Afonso, João L.
KeywordsRange prediction
Data mining
Driver profile
Range anxiety problem
Electric vehicle
Issue dateMar-2012
Abstract(s)Our work proposal is based on the past driving data that are stored in a driver profile, and using real time information about the Electric Vehicle parameters (e.g. speed and energy stored in the batteries), combined with external parameters (e.g. condi-tions of roads, traffic, and weather), determine the range autonomy accurately, taking into account the historical driver behavior. The driver profile is based on the stored data, which acts as training set for a Data Mining approach, in order to estimate the Electric Vehicle range. The Data Mining approach uses a regression model aiming to find the better range autonomy, which is used to represent the current Electric Vehicle range autonomy on a map.
TypeConference paper
URIhttp://hdl.handle.net/1822/19439
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
DEI - Artigos em atas de congressos internacionais

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