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

Autores

DOI:

https://doi.org/10.15628/holos.2020.9822

Palavras-chave:

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

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.

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Biografia do Autor

Felipe Gozzi Cruz, Universidade Tecnológica Federal do Paraná

Graduação em Engenharia Elétrica (UTFPR - 2018), Mestrado em andamento em Engenharia Elétrica na Universidade Estadual do Oeste do Paraná (UNIOESTE - início em 2019)

Mateus Moro Lumertz, Universidade Tecnológica Federal do Paraná

Graduação em Engenharia Elétrica (UTFPR - 2018), Mestrado em andamento em Engenharia Elétrica na Universidade de São Paulo (USP - início em 2019)

Leandro Antonio Pasa, Universidade Tecnológica Federal do Paraná

Graduação em Engenharia Elétrica (CEFET-PR - 1999), Mestrado em Engenharia Elétrica (UEL-2006) e Doutorado em Engenharia Elétrica e de Computação (UFRN - 2016). Professor do Departamento Acadêmico de Engenharia Elétrica, UTFPR - campus Medianeira.

Diogo Marujo, Universidade Tecnológica Federal do Paraná

Graduação em Engenharia Elétrica (UNIOESTE - 2010), Mestrado em Engenharia Elétrica (UNIFEI - 2013) e Doutorado em Engenharia Elétrica (UNIFEI - 2017), com período sanduíche na Universidade Politécnica de Barcelona. Professor do Departamento Acadêmico de Engenharia Elétrica, UTFPR - campus Medianeira

Rubisson Duarte Lamperti, Universidade Tecnológica Federal do Paraná

Graduação em Engenharia Elétrica (UFSJS - 2008), Mestrado em Engenharia Elétrica (UFSJ-2013) e Doutorado em andamento em Engenharia Elétrica (UTFPR - início em 2019). Professor do Departamento Acadêmico de Engenharia Elétrica, UTFPR - campus Medianeira

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Publicado

16/12/2020

Como Citar

Cruz, F. G., Lumertz, M. M., Pasa, L. A., Marujo, D., & Lamperti, R. D. (2020). IDENTIFICATION OF END OF LIFE ON LITHIUM-ION BATTERIES CELLS THROUGH SUPPORT VECTOR MACHINES FOR IN-CHARGER BATTERY MANAGEMENT SYSTEM STRATEGY. HOLOS, 6, 1–16. https://doi.org/10.15628/holos.2020.9822

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