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锂离子电池中兰姆代尔矿MnO阴极的放电过程。

Discharging of Ramsdellite MnO Cathode in a Lithium-Ion Battery.

作者信息

Jee Woongkyu, Sokol Alexey A, Xu Cyril, Camino Bruno, Zhang Xingfan, Woodley Scott M

机构信息

Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, U.K.

出版信息

Chem Mater. 2024 Aug 30;36(18):8737-8752. doi: 10.1021/acs.chemmater.4c01417. eCollection 2024 Sep 24.

Abstract

We report an application of our unbiased Monte Carlo approach to investigate thermodynamic and electrochemical properties of lithiated manganese oxide in the ramsdellite phase (R-MnO) to uncover the mechanism of lithium intercalation and understand charging/discharging of R-MnO as a cathode material in lithium-ion batteries. The lithium intercalation reaction was computationally explored by modeling thermodynamically significant distributions of lithium and reduced manganese in the R-MnO framework for a realistic range of lithium molar fractions 0 < < 1 in Li MnO. We employed interatomic potentials and analyzed the thermodynamics of the resultant grand canonical ensemble. We found ordered or semiordered phases at = 0.5 and 1.0 in Li MnO, verified by configurational entropy changes and simulated X-ray diffraction patterns of partially lithiated R-MnO. The radial distribution functions show the preference of lithium for homogeneous distributions across the one-dimensional 2 × 1 ramsdellite channels accompanied by alternating reduced/oxidized manganese ions. The occupation of the interstitial sites in the channels is correlated with the calculated voltage profile, showing a sharp voltage drop at = 0.5, which is explained by the energy penalty of shifting lithium ions from stable tetrahedral to unstable octahedral sites. To facilitate this work, our in-house software, Knowledge Led Master Code (KLMC) was extended to support massive parallelism on high-performance computers.

摘要

我们报告了一种无偏蒙特卡罗方法的应用,用于研究斜方锰矿相锂化氧化锰(R-MnO)的热力学和电化学性质,以揭示锂嵌入机制,并理解R-MnO作为锂离子电池阴极材料的充放电过程。通过对LiₓMnO中锂摩尔分数在0 < x < 1的实际范围内,对R-MnO框架中锂和还原态锰的热力学显著分布进行建模,对锂嵌入反应进行了计算探索。我们采用了原子间势,并分析了所得巨正则系综的热力学。我们在LiₓMnO中x = 0.5和1.0处发现了有序或半有序相,这通过构型熵变化和部分锂化R-MnO的模拟X射线衍射图谱得到了验证。径向分布函数表明,锂倾向于在一维2×1斜方锰矿通道中均匀分布,同时伴有交替的还原态/氧化态锰离子。通道中间隙位置的占据与计算出的电压分布相关,在x = 0.5处显示出急剧的电压降,这可以通过锂离子从稳定的四面体位置转移到不稳定的八面体位置的能量代价来解释。为了便于开展这项工作,我们的内部软件知识主导主代码(KLMC)进行了扩展,以支持在高性能计算机上的大规模并行计算。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9d1/11428077/982ad17ebca5/cm4c01417_0001.jpg

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