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Biomimetic Spider-Web-Like Composites for Enhanced Rate Capability and Cycle Life of Lithium Ion Battery Anodes

机译:仿生蜘蛛网状复合材料,可增强锂离子电池阳极的速率能力和循环寿命

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摘要

It is crucial to control the structure and composition of composite anode materials to enhance the cell performance of such anode materials for lithium ion batteries. Herein, a biomimetic strategy is demonstrated for the design of high performance anode materials, inspired by the structural characteristics and working principles of sticky spider-webs. Hierarchically porous, sticky, spider-web-like multiwall carbon nanotube (MWCNT) networks are prepared through a process involving ozonation, ice-templating assembly, and thermal treatment, thereby integrating the networks with gamma-Fe2O3 particles. The spider-web-like MWCNT/gamma-Fe2O3 composite network not only traps the active gamma-Fe2O3 materials tightly but also provides fast charge transport through the 3D internetworked pathways and the mechanical integrity. Consequently, the composite web shows a high capacity of similar to 822 mA h g(-1) at 0.05 A g(-1), fast rate capability with similar to 72.3% retention at rates from 0.05 to 1 A g(-1), and excellent cycling stability of > 88% capacity retention after 310 cycles with a Coulombic efficiency > 99%. These remarkable electrochemical performances are attributed to the complementarity of the 3D spider-web-like structure with the strong attachment of gamma-Fe2O3 particles on the sticky surface. This synthetic strategy offers an environmentally safe, simple, and cost-effective avenue for the biomimetic design of high performance energy storage materials.
机译:控制复合负极材料的结构和组成以增强这种用于锂离子电池的负极材料的电池性能至关重要。在此,从粘性蜘蛛网的结构特性和工作原理出发,论证了一种仿生策略用于高性能阳极材料的设计。通过涉及臭氧化,冰模板组装和热处理的过程来制备分层多孔,粘性,蜘蛛网状的多壁碳纳米管(MWCNT)网络,从而将网络与γ-Fe2O3颗粒结合在一起。类似于蜘蛛网的MWCNT /γ-Fe2O3复合网络不仅紧密地捕获了活性的γ-Fe2O3材料,而且还提供了通过3D互联途径和机械完整性的快速电荷传输。因此,复合纤维网在0.05 A g(-1)时显示出与822 mA hg(-1)相似的高容量,在0.05到1 A g(-1)时的保留率接近72.3%的快速速率能力,在310次循环后库仑效率> 99%时,具有出色的循环稳定性,> 88%的容量保持率。这些卓越的电化学性能归因于3D蜘蛛网状结构的互补性,并且在粘性表面上牢固地附着了γ-Fe2O3颗粒。这种合成策略为高性能储能材料的仿生设计提供了一种环境安全,简单且具有成本效益的途径。

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