Suppr超能文献

用于三维锂离子电池高倍率性能的LiNiMnCoO正极的超快激光微结构化

Ultrafast-Laser Micro-Structuring of LiNiMnCoO Cathode for High-Rate Capability of Three-Dimensional Li-ion Batteries.

作者信息

Tran Minh Xuan, Smyrek Peter, Park Jihun, Pfleging Wilhelm, Lee Joong Kee

机构信息

Division of Energy and Environmental Technology, KIST School, Korea University of Science and Technology (UST), Deajeon 34113, Korea.

Center for Energy Storage Research, Green City Research Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea.

出版信息

Nanomaterials (Basel). 2022 Nov 4;12(21):3897. doi: 10.3390/nano12213897.

Abstract

Femtosecond ultrafast-laser micro-patterning was employed to prepare a three-dimensional (3D) structure for the tape-casting Ni-rich LiNiMnCoO (NMC811) cathode. The influences of laser structuring on the electrochemical performance of NMC811 were investigated. The 3D-NMC811 cathode retained capacities of 77.8% at 2 C of initial capacity at 0.1 C, which was thrice that of 2D-NMC811 with an initial capacity of 27.8%. Cyclic voltammetry (CV) and impedance spectroscopy demonstrated that the 3D electrode improved the Li ion transportation at the electrode-electrolyte interface, resulting in a higher rate capability. The diffusivity coefficient , calculated by both CV and electrochemical impedance spectroscopy, revealed that 3D-NMC811 delivered faster Li ion transportation with higher than that of 2D-NMC811. The laser ablation of the active material also led to a lower charge-transfer resistance, which represented lower polarization and improved Li ion diffusivity.

摘要

采用飞秒超快激光微图案化技术为流延法制备的富镍LiNiMnCoO(NMC811)正极制备三维(3D)结构。研究了激光结构化对NMC811电化学性能的影响。3D-NMC811正极在2C下的容量保持率为初始容量(0.1C时)的77.8%,是初始容量为27.8%的2D-NMC811的三倍。循环伏安法(CV)和阻抗谱表明,3D电极改善了电极-电解质界面处的锂离子传输,从而具有更高的倍率性能。通过CV和电化学阻抗谱计算得到的扩散系数表明,3D-NMC811的锂离子传输速度比2D-NMC811更快,且具有更高的扩散系数。活性材料的激光烧蚀还导致电荷转移电阻降低,这意味着极化降低且锂离子扩散率提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eddc/9654857/b88b193a84e5/nanomaterials-12-03897-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验