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通过机械融合进行表面涂层可调节富镍层状阴极的整体充电路径和电池性能。

Surface coating by mechanofusion modulates bulk charging pathways and battery performance of Ni-rich layered cathodes.

作者信息

Hou Dong, Han Jiaxiu, Geng Chenxi, Xu Zhengrui, AlMarzooqi Modhi M, Zhang Jin, Yang Zhijie, Min Jungki, Xiao Xianghui, Borkiewicz Olaf, Wiaderek Kamila, Liu Yijin, Zhao Kejie, Lin Feng

机构信息

Department of Chemistry, Virginia Tech, Blacksburg, VA 24061.

School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907.

出版信息

Proc Natl Acad Sci U S A. 2022 Dec 6;119(49):e2212802119. doi: 10.1073/pnas.2212802119. Epub 2022 Dec 1.

Abstract

Ni-rich layered oxides as high-capacity battery cathodes suffer from degradation at high voltages. We utilize a dry surface modification method, mechanofusion (MF), to achieve enhanced battery stability. The simplicity, high yield, and flexibility make it cost-effective and highly attractive for processing at the industrial scale. The underlying mechanisms responsible for performance improvement are unveiled by a systematic study combining multiple probes, e.g., 3D nano-tomography, spectroscopic imaging, in situ synchrotron diffraction, and finite element analysis (FEA). MF affects the bulk crystallography by introducing partially disordered structure, microstrain, and local lattice variation. Furthermore, the crack initiation and propagation pattern during delithiation are regulated and the overall mechanical fracture is reduced after such surface coating. We validate that MF can alter the bulk charging pathways. Such a synergic effect between surface modification and bulk charge distribution is fundamentally important for designing next-generation battery cathode materials.

摘要

富镍层状氧化物作为高容量电池阴极,在高电压下会发生降解。我们采用一种干式表面改性方法——机械融合(MF),以提高电池稳定性。其简单性、高产率和灵活性使其具有成本效益,并且在工业规模加工中极具吸引力。通过结合多种探针的系统研究,如三维纳米断层扫描、光谱成像、原位同步辐射衍射和有限元分析(FEA),揭示了性能改善的潜在机制。MF通过引入部分无序结构、微应变和局部晶格变化来影响整体晶体结构。此外,脱锂过程中的裂纹萌生和扩展模式得到了调控,并且在进行这种表面涂层后,整体机械断裂减少。我们验证了MF可以改变整体充电路径。表面改性与整体电荷分布之间的这种协同效应对于设计下一代电池阴极材料至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12a4/9894257/27e6743f6609/pnas.2212802119fig01.jpg

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