X射线光电子能谱
阴极
电解质
化学状态
内阻
化学能
材料科学
紫外光电子能谱
电池(电)
分析化学(期刊)
电极
化学
化学工程
物理化学
量子力学
物理
工程类
功率(物理)
色谱法
有机化学
作者
Shin‐ichi Iida,Masahiro Terashima,K. Mamiya,Hsun‐Yun Chang,Shunsuke Sasaki,A. Ono,Takahito Kimoto,Takuya Miyayama
出处
期刊:Journal of vacuum science and technology
[American Vacuum Society]
日期:2021-05-24
卷期号:39 (4)
被引量:17
摘要
In recent years, all-solid-state batteries (ASSBs) have been attracting attention as the next generation batteries for electric vehicles, energy storage systems, etc. Despite the growing interest, there are still many challenges faced in the commercial use of ASSBs. One of the biggest issues is the internal resistance, especially generated at the interface between solid electrolyte and electrode. The internal resistance at the interface limits the charge-discharge cycling performances. In order to solve this issue, it is necessary to examine the chemical and physical interactions at the interface. In this study, we have performed a detailed characterization of a LiPON/LiCoO2 interface using time-of-flight secondary ion mass spectrometry, x-ray photoelectron spectroscopy, ultraviolet photoelectron spectroscopy, and low-energy inverse photoelectron spectroscopy to obtain information on chemical species, chemical compositions, chemical states, and energy band diagrams. These powerful techniques have revealed that an interlayer between LiPON and LiCoO2 was formed due to the temperature rise during the manufacturing process. The temperature rise caused a change of the LiPON network structure and stimulated Co reduction in the LiCoO2 layer near the interface. Energy band diagram analysis suggests that the electron diffusion from LiPON to LiCoO2 may have triggered the reduction of Co. We concluded that the chemical changes that occur at the interface caused an increase in interfacial impedance. Preventing the chemical reduction of Co would be a key to minimize the internal resistance. In this article, the detailed chemical interactions between the LiPON and LiCoO2 layers will be discussed.
科研通智能强力驱动
Strongly Powered by AbleSci AI