A sigmoid-weighted-consensus for balancing multiple battery energy storage systems (2024)
- Authors:
- USP affiliated authors: MACHADO, RICARDO QUADROS - EESC ; OLIVEIRA, VILMA ALVES DE - EESC ; SILVA, LUCAS JONYS RIBEIRO - EESC ; CAMPOS, MÁRCIO VON RONDOW - EESC ; ZILLI, BRUNO MENEGHEL - EESC ; FAGUNDES, THALES AUGUSTO - EESC
- Unidade: EESC
- DOI: 10.1109/TIE.2024.3443958
- Subjects: BATERIAS ELÉTRICAS; ENERGIA; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2024
- Source:
- Título: IEEE Transactions on Industrial Electronics
- ISSN: 0278-0046
- Volume/Número/Paginação/Ano: online, p. 1-11, 2024
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
SILVA, Lucas Jonys Ribeiro et al. A sigmoid-weighted-consensus for balancing multiple battery energy storage systems. IEEE Transactions on Industrial Electronics, p. 1-11, 2024Tradução . . Disponível em: http://dx.doi.org/10.1109/TIE.2024.3443958. Acesso em: 27 dez. 2025. -
APA
Silva, L. J. R., Campos, M. V. R., Zilli, B. M., Fagundes, T. A., Neves, R. V. A., Machado, R. Q., & Oliveira, V. A. de. (2024). A sigmoid-weighted-consensus for balancing multiple battery energy storage systems. IEEE Transactions on Industrial Electronics, 1-11. doi:10.1109/TIE.2024.3443958 -
NLM
Silva LJR, Campos MVR, Zilli BM, Fagundes TA, Neves RVA, Machado RQ, Oliveira VA de. A sigmoid-weighted-consensus for balancing multiple battery energy storage systems [Internet]. IEEE Transactions on Industrial Electronics. 2024 ; 1-11.[citado 2025 dez. 27 ] Available from: http://dx.doi.org/10.1109/TIE.2024.3443958 -
Vancouver
Silva LJR, Campos MVR, Zilli BM, Fagundes TA, Neves RVA, Machado RQ, Oliveira VA de. A sigmoid-weighted-consensus for balancing multiple battery energy storage systems [Internet]. IEEE Transactions on Industrial Electronics. 2024 ; 1-11.[citado 2025 dez. 27 ] Available from: http://dx.doi.org/10.1109/TIE.2024.3443958 - Optimized sigmoid-based complete ensemble empirical mode decomposition for energy management in hybrid electric vehicles
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Informações sobre o DOI: 10.1109/TIE.2024.3443958 (Fonte: oaDOI API)
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