IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY

Detalhes bibliográficos
Autor(a) principal: Cruz, Felipe Gozzi
Data de Publicação: 2020
Outros Autores: Lumertz, Mateus Moro, Pasa, Leandro Antonio, Marujo, Diogo, Lamperti, Rubisson Duarte
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Holos
Texto Completo: http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/9822
Resumo: Battery management systems are used to monitor power batteries in electric vehicles and solar power systems. They control the charge and discharge, identity and correct many problems in these batteries. Nowadays, measurements on each cell or stack of cells, which compose the battery, are necessary to ensure the safety and integrity of the system, because the battery cells degrade unequally since they are not built identically. A new methodology is presented in this work, for identification cells with finished life cycle in batteries parallel cells associations, without using temperature measurements, cell monitoring and State of Health estimators, through Support Vector Machines and Wavelet Transform. The proposed method opens possibilities for a new strategy of battery management in electric vehicles, inserting Battery Management System  in the charging stations and allowing more sophisticated diagnoses.
id IFRN-3_8e5424eedca66f2283436f8b8f3eb95a
oai_identifier_str oai:holos.ifrn.edu.br:article/9822
network_acronym_str IFRN-3
network_name_str Holos
repository_id_str
spelling IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGYBatteryElectric vehiclesBattery Management SystemsWavelet transformSupport vector machineBateriaVeículos elétricosSistema de gerenciamento de bateriaTransformada de WaveletMáquina de vetor de suporteBattery management systems are used to monitor power batteries in electric vehicles and solar power systems. They control the charge and discharge, identity and correct many problems in these batteries. Nowadays, measurements on each cell or stack of cells, which compose the battery, are necessary to ensure the safety and integrity of the system, because the battery cells degrade unequally since they are not built identically. A new methodology is presented in this work, for identification cells with finished life cycle in batteries parallel cells associations, without using temperature measurements, cell monitoring and State of Health estimators, through Support Vector Machines and Wavelet Transform. The proposed method opens possibilities for a new strategy of battery management in electric vehicles, inserting Battery Management System  in the charging stations and allowing more sophisticated diagnoses.Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte2020-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/982210.15628/holos.2020.9822HOLOS; v. 6 (2020); 1-161807-1600reponame:Holosinstname:Instituto Federal do Rio Grande do Norte (IFRN)instacron:IFRNenghttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/9822/pdfCopyright (c) 2020 HOLOSinfo:eu-repo/semantics/openAccessCruz, Felipe GozziLumertz, Mateus MoroPasa, Leandro AntonioMarujo, DiogoLamperti, Rubisson Duarte2022-05-01T19:15:44Zoai:holos.ifrn.edu.br:article/9822Revistahttp://www2.ifrn.edu.br/ojs/index.php/HOLOSPUBhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/oaiholos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br1807-16001518-1634opendoar:2022-05-01T19:15:44Holos - Instituto Federal do Rio Grande do Norte (IFRN)false
dc.title.none.fl_str_mv IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
title IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
spellingShingle IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
Cruz, Felipe Gozzi
Battery
Electric vehicles
Battery Management Systems
Wavelet transform
Support vector machine
Bateria
Veículos elétricos
Sistema de gerenciamento de bateria
Transformada de Wavelet
Máquina de vetor de suporte
title_short IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
title_full IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
title_fullStr IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
title_full_unstemmed IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
title_sort IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY
author Cruz, Felipe Gozzi
author_facet Cruz, Felipe Gozzi
Lumertz, Mateus Moro
Pasa, Leandro Antonio
Marujo, Diogo
Lamperti, Rubisson Duarte
author_role author
author2 Lumertz, Mateus Moro
Pasa, Leandro Antonio
Marujo, Diogo
Lamperti, Rubisson Duarte
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Cruz, Felipe Gozzi
Lumertz, Mateus Moro
Pasa, Leandro Antonio
Marujo, Diogo
Lamperti, Rubisson Duarte
dc.subject.por.fl_str_mv Battery
Electric vehicles
Battery Management Systems
Wavelet transform
Support vector machine
Bateria
Veículos elétricos
Sistema de gerenciamento de bateria
Transformada de Wavelet
Máquina de vetor de suporte
topic Battery
Electric vehicles
Battery Management Systems
Wavelet transform
Support vector machine
Bateria
Veículos elétricos
Sistema de gerenciamento de bateria
Transformada de Wavelet
Máquina de vetor de suporte
description Battery management systems are used to monitor power batteries in electric vehicles and solar power systems. They control the charge and discharge, identity and correct many problems in these batteries. Nowadays, measurements on each cell or stack of cells, which compose the battery, are necessary to ensure the safety and integrity of the system, because the battery cells degrade unequally since they are not built identically. A new methodology is presented in this work, for identification cells with finished life cycle in batteries parallel cells associations, without using temperature measurements, cell monitoring and State of Health estimators, through Support Vector Machines and Wavelet Transform. The proposed method opens possibilities for a new strategy of battery management in electric vehicles, inserting Battery Management System  in the charging stations and allowing more sophisticated diagnoses.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/9822
10.15628/holos.2020.9822
url http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/9822
identifier_str_mv 10.15628/holos.2020.9822
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/9822/pdf
dc.rights.driver.fl_str_mv Copyright (c) 2020 HOLOS
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 HOLOS
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
dc.source.none.fl_str_mv HOLOS; v. 6 (2020); 1-16
1807-1600
reponame:Holos
instname:Instituto Federal do Rio Grande do Norte (IFRN)
instacron:IFRN
instname_str Instituto Federal do Rio Grande do Norte (IFRN)
instacron_str IFRN
institution IFRN
reponame_str Holos
collection Holos
repository.name.fl_str_mv Holos - Instituto Federal do Rio Grande do Norte (IFRN)
repository.mail.fl_str_mv holos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br
_version_ 1798951625192112128

Registros relacionados