Ionic conductivity prediction model for composite electrodes and quantification of ionic conductivity reduction factors in sulfide-based all-solid-state batteries

离子电导率 电导率 复合数 离子键合 电极 材料科学 快离子导体 离子 化学 复合材料 物理化学 电解质 有机化学
作者
Kazufumi Otani,Takahisa Muta,Terumi Furuta,Takuhiro Miyuki,Tomohiro Kaburagi,Gen Inoue
出处
期刊:Journal of energy storage [Elsevier BV]
卷期号:58: 106279-106279 被引量:8
标识
DOI:10.1016/j.est.2022.106279
摘要

In recent years, all-solid-state batteries have been considered as suitable candidates for application in electric vehicles from the viewpoints of safety, rapid recharging, and energy density. Thus, vigorous efforts have been made to develop solid electrolytes (SE) with high ionic conductivity. However, it has been reported that the ionic conductivity of all-solid-state batteries decreases significantly when the electrodes are composed of a composite containing active materials. In this paper, we clarify the reason for the decrease in ionic conductivity both experimentally and via simulations. In addition, we propose a prediction model for the ionic conductivity of composite electrodes. First, to clarify the reason for the decrease in the ionic conductivity of SE, SE layers with controlled porosity are prepared. It is found that the contact ratio between the SE is the most significant factor in decreasing the ionic conductivity. In addition, a path-resistance-separation model is proposed to predict the overall ionic conductivity by separating the path inside the composite into macroscopic pathways that avoid the active material and microscopic pathways that avoid voids. The proposed model is expected to be used for improving the efficiency of all-solid-state battery design.
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