A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE

Detalhes bibliográficos
Autor(a) principal: MONALISA CRISTINA MOURA DOS SANTOS
Data de Publicação: 2020
Tipo de documento: Dissertação
Título da fonte: Portal de Dados Abertos da CAPES
Texto Completo: https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10432008
id BRCRIS_eaea1bda37cd53cfeca35882e84840f0
network_acronym_str CAPES
network_name_str Portal de Dados Abertos da CAPES
dc.title.pt-BR.fl_str_mv A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
title A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
spellingShingle A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
Health management
MONALISA CRISTINA MOURA DOS SANTOS
title_short A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
title_full A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
title_fullStr A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
title_full_unstemmed A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
title_sort A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE
topic Health management
publishDate 2020
format masterThesis
url https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10432008
author_role author
author MONALISA CRISTINA MOURA DOS SANTOS
author_facet MONALISA CRISTINA MOURA DOS SANTOS
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5432126651780891
dc.contributor.advisor1.fl_str_mv Isis Didier Lins
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5632602851077460
dc.publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE PERNAMBUCO
publisher.none.fl_str_mv UNIVERSIDADE FEDERAL DE PERNAMBUCO
instname_str UNIVERSIDADE FEDERAL DE PERNAMBUCO
dc.publisher.program.fl_str_mv ENGENHARIA DE PRODUÇÃO
dc.description.course.none.fl_txt_mv ENGENHARIA DE PRODUÇÃO
reponame_str Portal de Dados Abertos da CAPES
collection Portal de Dados Abertos da CAPES
spelling CAPESPortal de Dados Abertos da CAPESA PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLEA PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLEA PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLEA PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLEA PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLEA PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLEA PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLEHealth management2020masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=10432008authorMONALISA CRISTINA MOURA DOS SANTOShttp://lattes.cnpq.br/5432126651780891Isis Didier Linshttp://lattes.cnpq.br/5632602851077460UNIVERSIDADE FEDERAL DE PERNAMBUCOUNIVERSIDADE FEDERAL DE PERNAMBUCOUNIVERSIDADE FEDERAL DE PERNAMBUCOENGENHARIA DE PRODUÇÃOENGENHARIA DE PRODUÇÃOPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES
identifier_str_mv SANTOS, MONALISA CRISTINA MOURA DOS. A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE. 2020. Tese.
dc.identifier.citation.fl_str_mv SANTOS, MONALISA CRISTINA MOURA DOS. A PROPOSED METHODOLOGY USING ARTIFICIAL INTELLIGENCE TO ESTIMATE THE STATE OF CHARGE FOR BATTERIES OF ELECTRIC VEHICLE. 2020. Tese.
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