EV Battery Degradation

Bibliographic Details
Main Author: Rodrigues, Rui
Publication Date: 2022
Other Authors: Albuquerque, Vitória, Ferreira, Joao C., Dias, Miguel Sales
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/137080
Summary: Rodrigues, R., Albuquerque, V., Ferreira, J. C., & Dias, M. S. (2022). EV Battery Degradation: A Data Mining Approach. In A. L. Martins, J. C. Ferreira, & A. Kocian (Eds.), Intelligent Transport Systems: 5th EAI International Conference, INTSYS 2021, Proceedings (pp. 177-191). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 426 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97603-3_13 ------------------- Funding Information: This study was performed in the scope of ISCTE collaboration with Santos e Vale, who financed the research. Publisher Copyright: © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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spelling EV Battery DegradationA Data Mining ApproachBehaviorCharging processElectric vehiclesComputer Networks and CommunicationsSDG 7 - Affordable and Clean EnergySDG 11 - Sustainable Cities and CommunitiesRodrigues, R., Albuquerque, V., Ferreira, J. C., & Dias, M. S. (2022). EV Battery Degradation: A Data Mining Approach. In A. L. Martins, J. C. Ferreira, & A. Kocian (Eds.), Intelligent Transport Systems: 5th EAI International Conference, INTSYS 2021, Proceedings (pp. 177-191). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 426 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97603-3_13 ------------------- Funding Information: This study was performed in the scope of ISCTE collaboration with Santos e Vale, who financed the research. Publisher Copyright: © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.The increase in greenhouse gas emissions into the atmosphere, and their adverse effects on the environment, has prompted the search for alternative energy sources to fossil fuels. One of the solutions gaining ground is the electrification of various human activities, such as the transport sector. This trend has fueled a growing need for electrical energy storage in lithium-ion batteries. Precisely knowing the degree of degradation that this type of battery accumulates over its useful life is necessary to bring economic benefits, both for companies and citizens. This paper aims to answer the current need by proposing a research question about electric motor vehicles. It focuses on habits EV owners practice, which could harm the battery life. This paper seeks to answer this question using a data science methodology. The results allowed us to conclude that all other factors had a marginal effect on the vehicles’ autonomy decrease except for the car year. The biggest obstacle encountered in adopting electric vehicles was the insufficient coverage of the charging stations network.Springer Science and Business Media Deutschland GmbHNOVA Information Management School (NOVA IMS)RUNRodrigues, RuiAlbuquerque, VitóriaFerreira, Joao C.Dias, Miguel Sales2023-04-02T00:31:38Z2022-03-122022-03-12T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersion15application/pdfhttp://hdl.handle.net/10362/137080eng97830309760261867-8211PURE: 42945449https://doi.org/10.1007/978-3-030-97603-3_13info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:01:15Zoai:run.unl.pt:10362/137080Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:32:14.817069Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv EV Battery Degradation
A Data Mining Approach
title EV Battery Degradation
spellingShingle EV Battery Degradation
Rodrigues, Rui
Behavior
Charging process
Electric vehicles
Computer Networks and Communications
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
title_short EV Battery Degradation
title_full EV Battery Degradation
title_fullStr EV Battery Degradation
title_full_unstemmed EV Battery Degradation
title_sort EV Battery Degradation
author Rodrigues, Rui
author_facet Rodrigues, Rui
Albuquerque, Vitória
Ferreira, Joao C.
Dias, Miguel Sales
author_role author
author2 Albuquerque, Vitória
Ferreira, Joao C.
Dias, Miguel Sales
author2_role author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Rodrigues, Rui
Albuquerque, Vitória
Ferreira, Joao C.
Dias, Miguel Sales
dc.subject.por.fl_str_mv Behavior
Charging process
Electric vehicles
Computer Networks and Communications
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
topic Behavior
Charging process
Electric vehicles
Computer Networks and Communications
SDG 7 - Affordable and Clean Energy
SDG 11 - Sustainable Cities and Communities
description Rodrigues, R., Albuquerque, V., Ferreira, J. C., & Dias, M. S. (2022). EV Battery Degradation: A Data Mining Approach. In A. L. Martins, J. C. Ferreira, & A. Kocian (Eds.), Intelligent Transport Systems: 5th EAI International Conference, INTSYS 2021, Proceedings (pp. 177-191). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 426 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97603-3_13 ------------------- Funding Information: This study was performed in the scope of ISCTE collaboration with Santos e Vale, who financed the research. Publisher Copyright: © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-12
2022-03-12T00:00:00Z
2023-04-02T00:31:38Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/137080
url http://hdl.handle.net/10362/137080
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 9783030976026
1867-8211
PURE: 42945449
https://doi.org/10.1007/978-3-030-97603-3_13
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 15
application/pdf
dc.publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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