1D Carbon‐Based Nanocomposites for Electrochemical Energy Storage

Electrochemical energy storage (EES) devices have attracted immense research interests as an effective technology for utilizing renewable energy. 1D carbon‐based nanostructures are recognized as highly promising materials for EES application, combining the advantages of functional 1D nanostructures...

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Veröffentlicht in:Small (Weinheim an der Bergstrasse, Germany) Germany), 2019-11, Vol.15 (48), p.e1902348-n/a
Hauptverfasser: Shi, Changwei, Owusu, Kwadwo Asare, Xu, Xiaoming, Zhu, Ting, Zhang, Guobin, Yang, Wei, Mai, Liqiang
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Sprache:eng
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Zusammenfassung:Electrochemical energy storage (EES) devices have attracted immense research interests as an effective technology for utilizing renewable energy. 1D carbon‐based nanostructures are recognized as highly promising materials for EES application, combining the advantages of functional 1D nanostructures and carbon nanomaterials. Here, the recent advances of 1D carbon‐based nanomaterials for electrochemical storage devices are considered. First, the different categories of 1D carbon‐based nanocomposites, namely, 1D carbon‐embedded, carbon‐coated, carbon‐encapsulated, and carbon‐supported nanostructures, and the different synthesis methods are described. Next, the practical applications and optimization effects in electrochemical energy storage devices including Li‐ion batteries, Na‐ion batteries, Li–S batteries, and supercapacitors are presented. After that, the advanced in situ detection techniques that can be used to investigate the fundamental mechanisms and predict optimization of 1D carbon‐based nanocomposites are discussed. Finally, an outlook for the development trend of 1D carbon‐based nanocomposites for EES is provided. 1D carbon‐based nanocomposites are categorized into four configurations, including 1D carbon‐embedded, carbon‐coated, carbon‐encapsulated, and carbon‐supported nanostructures. The important advances in the synthesis and applications of 1D carbon‐based nanocomposites for different energy storage systems, and in situ characterization techniques for understanding the fundamental mechanism and predicting their optimization, are discussed.
ISSN:1613-6810
1613-6829
DOI:10.1002/smll.201902348