Center for Advanced Energy System and Reliability

About the Center

With a strong interdisciplinary research team, the Center focuses on the frontier scientific problems on large-scale energy storage systems, especially their reliability problems, leads the development of theoretical and practical technologies, solves real problems in energy storage systems, and produces academic achievements with high international influence. To meet the extremely demanding requirements on reliability of large-scale battery energy storage systems in long-term and complex service scenarios such as energy storage power plants, electric aircraft and electric ships, the center takes the lead in building cross-disciplinary technologies and methodologies from the multi-dimensional aspects of materials, battery cells, to systems to support the long-term and safe operation of future large-scale battery energy storage systems.

Directors

Center Members

Research Directions

• Failure mechanisms and causes of energy storage systems

Determine the failure mechanisms and main causes of large-scale battery energy storage systems from the perspectives 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

Expand the application of classical reliability theories and testing methods to large-scale electrochemical energy storage systems, and develop technologies with both theoretical advancement and engineering practice values by integrating advanced mechanism and data means.

• Digital operation and maintenance, intelligent perception and fault diagnosis, life evaluation

Realize online fault diagnosis and safety warning, and build agile and intelligent high-reliable operations and control technologies based on cutting-edge intelligent and digital technologies, integrated reliability theories and failure mechanism analysis, cloud-edge collaboration of massive multi-source data, digital twins, etc.

• Smart microgrids and energy internet

To address the strong stochastics and dynamics brought by large-scale renewable energy integration, conduct research on the real-time situational awareness, as well as the real-time optimization and control of renewable energy system based on edge computing, distributed control, and artificial intelligence algorithms. This constructs an intelligent hardware and software technology system that supports multi-energy complementarity and source-grid-load-storage interaction in the energy interconnection system.

Recruitment Areas

Reliability Engineering

• Reliability theory and testing methods

• Fault diagnosis, failure mechanism and impact analysis;

• Failure propagation networks

• Intelligent sensing, signal inversion

• Intelligent operation and maintenance, predictive maintenance and early warning methods

• Heat and mass transfer, ignition and explosion mechanisms

• Risk assessment

• lifetime assessment

Hybrid Energy System

• System design and intelligent control of new electrochemical energy storage systems

• Design and control of high-ratio power electronic equipment

• Combined operation and control of wind, fire, and storage, and active grid support technology

• Smart microgrid energy interconnection and operation 

• Carbon emission reduction and carbon footprinting