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Cited by 911

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Thermodynamic analysis on energy densities of batteries

Zu, Chen-Xi, Li, Hong·2011·Energy & Environmental Science

Abstract

The average increase in the rate of the energy density of secondary batteries has been about 3% in the past 60 years. Obviously, a great breakthrough is needed in order to increase the energy density from the current 210 Wh kg−1 of Li-ion batteries to the ambitious target of 500–700 Wh kg−1 to satisfy application in electrical vehicles. A thermodynamic calculation on the theoretical energy densities of 1172 systems is performed and energy storage mechanisms are discussed, aiming to determine the theoretical and practical limits of storing chemical energy and to screen possible systems. Among all calculated systems, the Li/F2 battery processes the highest energy density and the Li/O2 battery ranks as the second highest, theoretically about ten times higher than current Li-ion batteries. In this paper, energy densities of Li-ion batteries and a comparison of Li, Na, Mg, Al, Zn-based batteries, Li-storage capacities of the electrode materials and conversion reactions for energy storage, in addition to resource and environmental concerns, are analyzed.

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Metadata

Authors
Zu, C.-X., & Li, H.
Venue
Energy & Environmental Science
Published
2011
Volume
4
Issue
8
Pages
2614
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2010155940
Cited by
911
References
2
FWCI
20.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Thermodynamic analysis on energy densities of batteries. https://app.cochat.ai/papers/10.1039/c0ee00777c
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Zu, C.-X., & Li, H. (2011). Thermodynamic analysis on energy densities of batteries. Energy & Environmental Science. https://doi.org/10.1039/c0ee00777c

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.