Failure mechanisms and causes of large-scale energy storage systems
In view of the complex multi-dimensional (material, thermal, electrical, etc.) dynamic and interactive relationships among tens of thousands or even hundreds of thousands of battery cells in the system, we will determine the failure mechanisms and main causes of large-scale battery energy storage systems from the perspective of multi-scale multi-physical field modeling and analysis, and provide theoretical basis for subsequent improvements in material and manufacturing.
Advanced Reliability Theory and Test Methods
In view of the unique mechanism and dynamic characteristics of electrochemical energy storage devices and the complex multi-physical field interaction and topology in large-scale battery energy storage systems, we will expand the application of classical reliability theories and testing methods in large-scale electrochemical energy storage systems, and develop a technical system with both theoretical advancement and engineering practice value by integrating mechanism and data means.
Digital operation and maintenance, intelligent perception and fault diagnosis, life evaluation
With a view to the intelligent monitoring, inspection, control and safe operation of various types of large-scale battery energy storage systems distributed over a wide space, we will realize online fault diagnosis and safety warning, and build an agile and intelligent high-reliability safe operation and control technology system based on cutting-edge intelligent and digital technologies, integrated reliability theory and failure mechanism analysis, cloud-edge collaboration of massive multi-source data, digital twins, etc.
