School of Natural Sciences and Mathematics, Ural Federal University, 620000 Ekaterinburg, Russia.
Nanoscale. 2018 Feb 1;10(5):2503-2511. doi: 10.1039/c7nr08001h.
Electrochemical strain microscopy (ESM) can provide useful information on the ionic processes in materials at the local scale. This is especially important for ever growing applications of Li-batteries whose performance is limited by the intrinsic and extrinsic degradation. However, the ESM method used so far has been only qualitative due to multiple contributions to the apparent ESM signal. In this work, we provide a viable approach for the local probing of ionic concentration and diffusion coefficients based on the frequency dependence of the ESM signal. A theoretical basis considering the dynamic behavior of ion migration and relaxation and change of ion concentration profiles under the action of the electric field of the ESM tip is developed. We argue that several parasitic contributions to the ESM signal discussed in the literature can be thus eliminated. The analysis of ESM images using the proposed approach allows a quantitative mapping of the ionic diffusion coefficients and concentration in ionic conductors. The results are validated on Li-battery cathodes (LiMnO) extracted from commercial Li-batteries and can provide novel possibilities for their development and further insight into the mechanisms of their degradation.
电化学应变显微镜(ESM)可以在局部尺度上提供有关材料中离子过程的有用信息。对于锂离子电池的应用越来越多,这一点尤为重要,因为其性能受到内在和外在降解的限制。然而,由于对明显 ESM 信号的多种贡献,迄今为止使用的 ESM 方法一直是定性的。在这项工作中,我们提供了一种基于 ESM 信号频率依赖性的局部探测离子浓度和扩散系数的可行方法。开发了一种理论基础,考虑了离子迁移和弛豫的动态行为以及离子浓度分布在 ESM 尖端电场作用下的变化。我们认为,可以消除文献中讨论的 ESM 信号的几种寄生贡献。使用所提出的方法对 ESM 图像进行分析,可以对离子导体中的离子扩散系数和浓度进行定量映射。该结果在从商业锂离子电池中提取的锂离子电池阴极(LiMnO)上得到了验证,并为其开发提供了新的可能性,并进一步深入了解其降解机制。