论文标题

锂离子电池中石墨阳极的固有静电介电行为 - 整个功能范围

The intrinsic electrostatic dielectric behaviour of graphite anodes in Li-ion batteries -- across the entire functional range of charge

论文作者

Anniés, Simon, Scheurer, Christoph, Panosetti, Chiara

论文摘要

锂含量插入化合物(Li-GIC)是现代锂离子电池最常见的阳极材料。但是,该材料在静电极限(及其与电荷状态(SOC))中的介电响应尚未得到令人满意的程度,尤其是对于更高的SOC范围而言。尽管如此,介电行为仍然是一种高度期望的特性,尤其是作为带电动力学蒙特卡洛模拟的输入参数,这是能量材料最有希望的建模技术之一。在这项工作中,我们基于机器学习的排斥潜力来利用LI-GIC的最新DFTB参数化,以克服在此材料中采样长期库仑相互作用的计算障碍,就像电荷载体内部所经历的那样。由于计算成本,这种方法相当新颖,但最适合研究我们感兴趣的特定属性。我们第一次从CA中发现了对SOC的相对介电常数的大部分线性依赖性。 7在SOC 0%至CA。 25在SOC 100%。在此过程中,我们还提出了一种直接的方法,可以在未来的研究中用于其他插入化合物 - 曾经足够快,远程的计算方法,例如线性缩放DFT,具有内置静电的良好DFTB参数化或原子电位。但是,尽管提出的定性行为是稳健的,并且我们的结果与少数可用的实验研究相比有利,但我们强调的是,定量结果在很大程度上取决于我们对从插入的锂离子到碳宿主结构的部分电荷转移的估计,并且需要通过进一步的实验和计算来验证。然而,我们的研究表明,原则上,两个测量值 - 一个在低位和高级SOC的测量值应足以满足此目的。

Lithium-graphite intercalation compounds (Li-GICs) are the most common anode material for modern Li-ion batteries. However, the dielectric response of this material in the electrostatic limit (and its variation with the state of charge (SOC)) has not been investigated to a satisfactory degree, especially not for the higher SOC range. Nevertheless, said dielectric behaviour is a highly desired property, particularly as an input parameter for charged kinetic Monte Carlo simulations, one of the most promising modeling techniques for energy materials. In this work, we employ our recent DFTB parametrization for Li-GICs based on a machine-learned repulsive potential in order to overcome the computational hurdles of sampling the long-ranged Coulomb interactions within this material, as experienced by the charge carriers within. This approach is rather novel due to computational cost, but best suited for investigating our specific property of interest. For the first time, we discover a mostly linear dependency of the relative permittivity on the SOC, from ca. 7 at SOC 0% to ca. 25 at SOC 100%. In doing so, we also present a straightforward approach that can be used in future research for other intercalation compounds -- once sufficiently fast and long-ranged computational methods, e.g. linear-scaling DFT, a good DFTB parametrization, or atomic potentials with inbuilt electrostatics, become available. However, while the presented qualitative behaviour is robust and our results compare favourably with the few experimental studies available, we stress that quantitative results are strongly dependent on our estimation of the partial charge transfer from the intercalated Li-ion to the carbon host structure, and need to be verified by further experiments and calculations. Yet, our research shows that in principle, two measurements -- one at low and one at high SOC -- should suffice for that purpose.

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