Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/19439
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Ferreira, João C. | - |
dc.contributor.author | Monteiro, Vítor Duarte Fernandes | - |
dc.contributor.author | Afonso, João L. | - |
dc.date.accessioned | 2012-05-22T14:21:40Z | - |
dc.date.available | 2012-05-22T14:21:40Z | - |
dc.date.issued | 2012-03 | - |
dc.identifier.uri | https://hdl.handle.net/1822/19439 | - |
dc.description.abstract | 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. | por |
dc.description.sponsorship | Fundação para a Ciência e a Tecnologia (FCT) | por |
dc.language.iso | eng | por |
dc.rights | openAccess | por |
dc.subject | Range prediction | por |
dc.subject | Data mining | por |
dc.subject | Driver profile | por |
dc.subject | Range anxiety problem | por |
dc.subject | Electric vehicle | por |
dc.title | Data mining approach for range prediction of electric vehicle | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 1 | por |
oaire.citationEndPage | 15 | por |
oaire.citationConferencePlace | Munich, Germany | por |
oaire.citationTitle | Conference on Future Automotive Technology - Focus Electromobility | por |
sdum.conferencePublication | Conference on Future Automotive Technology - Focus Electromobility | por |
Aparece nas coleções: | DEI - Artigos em atas de congressos internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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FAT_2012_DMARPE.pdf | Documento principal | 1,48 MB | Adobe PDF | Ver/Abrir |