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Cited by 399

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Aqueous rechargeable lithium batteries as an energy storage system of superfast charging

Tang, Wei, Zhu, Yusong, Hou, Yuyang, Liu, Lili, Wu, Yuping, Loh, Kian Ping, Zhang, Hanping, Zhu, Kai·2013·Energy & Environmental Science

Abstract

Due to the energy crisis within recent decades, renewable energies such as solar, wind and tide energies have received a lot of attention. However, these renewable energies are dependent on the time and season. Consequently, energy storage systems are needed to fully utilize these energies including their connection with smart grids. Aqueous rechargeable lithium batteries (ARLBs) may be an ideal energy storage system due to its excellent safety and reliability. However, since the introduction of ARLBs in 1994, the progress on improving their performance has been very limited. Recently, their rate performance, especially superfast charging performance, reversible capacity and cycling life of their electrode materials were markedly improved. The present work reviews the latest advances in the exploration of the electrode materials and the development of battery systems. Also the main challenges in this field are briefly commented on and discussed.

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Metadata

Authors
Tang, W., Zhu, Y., Hou, Y., Liu, L., Wu, Y., Loh, K. P., Zhang, H., & Zhu, K.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
7
Pages
2093
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2011668505
Cited by
399
References
0
FWCI
20.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Aqueous rechargeable lithium batteries as an energy storage system of superfast charging. https://app.cochat.ai/papers/10.1039/c3ee24249h
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Tang, W., Zhu, Y., Hou, Y., Liu, L., Wu, Y., Loh, K. P., Zhang, H., & Zhu, K. (2013). Aqueous rechargeable lithium batteries as an energy storage system of superfast charging. Energy & Environmental Science. https://doi.org/10.1039/c3ee24249h

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.