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Theoretical Energy Density of Li–Air Batteries

Open access
Zheng, J. P., Liang, R. Y., Hendrickson, M., Plichta, E. J.·2008·Journal of The Electrochemical Society

Abstract

A model for predication of the gravimetric and volumetric energy densities of Li-air batteries using aqueous electrolytes is developed. The theoretical gravimetric/volumetric capacities and energy densities are calculated based on the minimum weight of the electrolyte and volume of air electrode needed for completion of the electrochemical reaction with Li metal as an anode electrode. It was determined that both theoretical gravimetric/volumetric capacities and energy densities are dependent on the porosity of the air electrode. For instance, at a porosity of 70%, the maximum theoretical cell capacities are and in basic electrolyte, and and in acidic electrolyte. The maximum theoretical cell energy densities are and in basic electrolyte, and and in acidic electrolyte. The significant deduction of cell capacity from specific capacity of Li metal is due to the bulky weight requirement from the electrolyte and air electrode materials. In contrast, the Li-air battery using a nonaqueous electrolyte does not consume electrolyte during the discharge process and has high cell energy density. For Li-air batteries using both aqueous and nonaqueous electrolytes, the weight increases by 8–13% and the volume decreases by 8–20% after the cell is fully discharged.

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Metadata

Authors
Zheng, J. P., Liang, R. Y., Hendrickson, M., & Plichta, E. J.
Venue
Journal of The Electrochemical Society
Published
2008
Volume
155
Issue
6
Pages
A432
ISSN
0013-4651 (ISSN-L)
OpenAlex
W2167877785
Cited by
203
References
0
FWCI
8.37
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Theoretical Energy Density of Li–Air Batteries. https://app.cochat.ai/papers/10.1149/1.2901961
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Zheng, J. P., Liang, R. Y., Hendrickson, M., & Plichta, E. J. (2008). Theoretical Energy Density of Li–Air Batteries. Journal of The Electrochemical Society. https://doi.org/10.1149/1.2901961

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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.