Lithium-Ion Battery Aging Estimation Through Deep Learning Techniques-Reference-Cited by-同舟云学术

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Lithium-Ion Battery Aging Estimation Through Deep Learning Techniques

Published:2024-06-30 Issue: Volume:1 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Santos Luan L.¹,De Moura Natanael Nunes¹,Dias Robson F. S.¹

Affiliation:

1. the Federal University,Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering,Rio de Janeiro

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651020.pdf?arnumber=10651020

Reference21 articles.

1. Global electricity review;Wiatros-Motyka,2023

2. Impacts of intermittent renewables on electricity generation system operation;Pérez-Arriaga,2012

3. Battery energy-storage system: A review of technologies, optimization objectives, constraints, approaches, and outstanding issues;Hannan,2021

4. Why did renewables become so cheap so fast?;Roser,2020

5. Recycling end-of-life electric vehicle lithium-ion batteries;Chen,2019

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