介电谱
电极
电阻抗
放松(心理学)
计算机科学
氧化物
材料科学
电化学
耐久性
工艺工程
电气工程
化学
工程类
复合材料
物理化学
冶金
社会心理学
心理学
作者
Mitra Ghamarinia,Alireza Babaei,Cyrus Zamani,Hamed Aslannejad
标识
DOI:10.1016/j.ceja.2023.100503
摘要
Understanding electrochemical sub-processes occurring at solid oxide cells (SOCs) components, mainly air electrodes, is of high importance since they play a key role in improving the performance of SOC devices and their durability. Among various performance analysis methods, electrochemical impedance spectroscopy (EIS) is the most used one in studies. However, analyzing and interpreting EIS data have always been considered as a challenge given the fact that the information provided by the common approach of complex non-linear least square (CNLS) method is limited. Viewed in this sight, the distribution of relaxation time (DRT) approach has gained considerable attention in recent years as a potential approach to analyze EIS measurement results. This study aims at reviewing recent publications that used the DRT method to deconvolute the EIS data and at pathing the way to use DRT methodology and incorporate its results. Studies are focused on six categories of commonly used air electrodes, namely LSCF-based, LSM-based, lanthanide nickelates-based, BSCF-based, and double perovskite-based electrodes, and less-common-used ones.
科研通智能强力驱动
Strongly Powered by AbleSci AI