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Cited by 200

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Development and application of self-healing materials in smart batteries and supercapacitors

Cheng, Yan, Xiao, Xiao, Pan, Kunming, Pang, Huan·2020·Chemical Engineering Journal

Abstract

Abstract The development of rechargeable energy storage devices has received much attention recently, especially for smart energy storage devices. This paper reviews the applications and latest developments in recent years of a class of intelligent energy storage devices. These energy storage devices are made from self-healing materials, and therefore, they have their own self-healing function. They can not only undergo repeated folding deformations during use but also automatically repair their damaged parts to extend their service life. We focus on the repair mechanisms and performances of energy storage devices prepared from self-healing materials with a focus on electrodes and electrolytes. Since the research on these self-healing materials is still in its infancy, it has developed rapidly but still suffers from many limitations. Therefore, we discuss the challenges this research is currently facing and the opportunities for future development.

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Metadata

Authors
Cheng, Y., Xiao, X., Pan, K., & Pang, H.
Venue
Chemical Engineering Journal
Publisher
Elsevier BV
Published
2020-01
Volume
380
Pages
122565
ISSN
1385-8947 (ISSN-L)
OpenAlex
W2969267885
Cited by
200
References
1
FWCI
10.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Development and application of self-healing materials in smart batteries and supercapacitors. https://app.cochat.ai/papers/10.1016/j.cej.2019.122565
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Cheng, Y., Xiao, X., Pan, K., & Pang, H. (2020). Development and application of self-healing materials in smart batteries and supercapacitors. Chemical Engineering Journal. https://doi.org/10.1016/j.cej.2019.122565

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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.