固体氧化物燃料电池（SOFC）是一种高效、环境友好的能源转换装置，其性能与其电极结构密切相关。但是，受电池原位研究条件不足的制约，电极微结构实时演化规律仍不清楚。本项目拟利用北京高能所同步辐射实验室的硬X射线成像系统，发展原位成像技术，实时观察电极结构的演变信息，研究运行状态下电池电极微结构演变（孔隙率、曲折因子、颗粒尺寸、联通性和三相界面长度等）和运行条件（工作温度、运行时间、气氛、极化电动势等）的关系，发展多场耦合数值模型，基于重构数据模拟分析电极微结构演变与电池性能的关系，从微结构演变规律、数值模拟结果和电性能变化三方面深入阐述运行状态下电池老化机理，建立SOFC性能衰退的理论模型，为SOFC运行寿命的准确预测建立理论基础。

The microstructures of electrodes are critical for solid oxide fuel cells (SOFCs), which are environmentally friendly devices that converse chemical energy of various fuels to electrical energy with high efficiency and low greenhouse gas emission. However, details of the microstructural real-time evolutions of the electrode under long term operation are still not clear to the SOFC society due to the lack of in situ microstructure investigation. This project will develop in situ imaging technique based on hard X-ray nano computed tomography (nano-CT) at the Beijing Synchrotron Radiation Facility to observe the gradual microstructure change of the electrodes during operation and perform detailed microstructural analysis to study the relationship between microstructural evolutions (porosity, tortuosity, particle size and connectivity, TPB length et al ) and operational conditions(operational temperature, operational time, atmosphere, polarized electromotive force ). Developing multi-field coupling numerical model to model and analyze the relationship between microstructural evolutions and SOFC performance based on reconstruction data. Using microstructural evolution processes, the results of numerical simulation and electrical performance change to understand the aging mechanism of SOFC and build theoretical model of SOFC performance degradation, which can be used to build a theoretical basis for precisely predicting the operational life of SOFC. Such prediction is critical in improving the operational life of SOFCs.