State-of-charge estimation of sodium-ion batteries: A fusion deep learning approach-Reference-Cited by-同舟云学术

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State-of-charge estimation of sodium-ion batteries: A fusion deep learning approach

Published:2024-06 Issue: Volume:91 Page:111527
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Sun Wenjie,Xu Huan,Zhou Bangyu,Guo Yuanjun,Tang Yongbing^ORCID,Yao Wenjiao,Yang Zhile

Publisher

Elsevier BV

Reference56 articles.

1. The bidding strategies of large-scale battery storage in 100% renewable smart energy systems;Yuan;Appl. Energy,2022

2. A data decomposition approach to design a dynamic pricing mechanism for residence-based plug-in electric vehicles in wind energy-rich grids;Eldali;ETransportation,2020

3. Challenges of renewable energy penetration on power system flexibility: A survey;Impram;Energy Strategy Rev.,2020

4. Electrochemical energy storage for green grid;Yang;Chem. Rev.,2011

5. Storage and balancing synergies in a fully or highly renewable pan-European power system;Rasmussen;Energy Policy,2012

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