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Cited by 348

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

Prospects and Limits of Energy Storage in Batteries

Abraham, K. M.·2015·The Journal of Physical Chemistry Letters

Abstract

Energy densities of Li ion batteries, limited by the capacities of cathode materials, must increase by a factor of 2 or more to give all-electric automobiles a 300 mile driving range on a single charge. Battery chemical couples with very low equivalent weights have to be sought to produce such batteries. Advanced Li ion batteries may not be able to meet this challenge in the near term. The state-of-the-art of Li ion batteries is discussed, and the challenges of developing ultrahigh energy density rechargeable batteries are identified. Examples of ultrahigh energy density battery chemical couples include Li/O2, Li/S, Li/metal halide, and Li/metal oxide systems. Future efforts are also expected to involve all-solid-state batteries with performance similar to their liquid electrolyte counterparts, biodegradable batteries to address environmental challenges, and low-cost long cycle-life batteries for large-scale energy storage. Ultimately, energy densities of electrochemical energy storage systems are limited by chemistry constraints.

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Metadata

Authors
Abraham, K. M.
Venue
The Journal of Physical Chemistry Letters
Published
2015-02-19
Volume
6
Issue
5
Pages
830-844
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2003646988
Cited by
348
References
2
FWCI
15.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Prospects and Limits of Energy Storage in Batteries. https://app.cochat.ai/papers/10.1021/jz5026273
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Abraham, K. M. (2015). Prospects and Limits of Energy Storage in Batteries. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/jz5026273

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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.