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Cited by 317

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Fast charging of lithium-ion batteries at all temperatures

Open access
Yang, Xiao-Guang, Zhang, Guangsheng, Ge, Shanhai, Wang, Chao-Yang·2018·Proceedings of the National Academy of Sciences

Abstract

Significance: Range anxiety is a key reason that consumers are reluctant to embrace electric vehicles (EVs). To be truly competitive with gasoline vehicles, EVs should allow drivers to recharge quickly anywhere in any weather, like refueling gasoline cars. However, none of today’s EVs allow fast charging in cold or even cool temperatures due to the risk of lithium plating, the formation of metallic lithium that drastically reduces battery life and even results in safety hazards. Here, we present an approach that enables 15-min fast charging of Li-ion batteries in any temperatures (even at −50 °C) while still preserving remarkable cycle life (4,500 cycles, equivalent to >12 y and >280,000 miles of EV lifetime), thus making EVs truly weather-independent.

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Crossref · 10.1073/pnas.1807115115

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Metadata

Authors
Yang, X.-G., Zhang, G., Ge, S., & Wang, C.-Y.
Venue
Proceedings of the National Academy of Sciences
Published
2018-06-25
Volume
115
Issue
28
Pages
7266-7271
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2810843556
Cited by
317
References
3
FWCI
15.11
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fast charging of lithium-ion batteries at all temperatures. https://app.cochat.ai/papers/10.1073/pnas.1807115115
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Yang, X.-G., Zhang, G., Ge, S., & Wang, C.-Y. (2018). Fast charging of lithium-ion batteries at all temperatures. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1807115115

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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.