Key Technologies for Intelligent Management, State Prediction, and Safe Operation of Energy Storage Systems
This special session focuses on key technologies for intelligent management, state prediction, and safe operation of energy storage systems. With the large-scale application and high-proportion integration of energy storage in modern power systems, energy storage has become an indispensable core supporting component for system stable operation, renewable energy accommodation and flexible regulation. However, energy storage systems are facing prominent challenges such as low efficiency of battery equalization management, insufficient accuracy of state and life prediction, hidden dangers of operational safety, lack of intelligent full-lifecycle management means, and mismatch between converter performance and system operation requirements. Aiming at the above key technical pain points, this workshop focuses on cutting-edge technologies including active equalization control, state estimation, safety early warning, artificial intelligence fulllifecycle empowerment and highperformance converter design. It deeply discusses advanced theories, innovative methods, engineering verification and practical application cases in related fields, builds an academic and technical exchange platform for researchers, engineers and industrial practitioners, promotes the deep integration of cuttingedge technologies and energy storage engineering applications, and boosts the technological iteration and high-quality development of energy storage equipment and system operation. Topics of interest include, but are not limited to:
1. Active equalization and intelligent operation & maintenance of battery energy storage systems
2. State estimation and lifetime prediction of energy storage batteries
3. Safety management and early warning technologies for energy storage batteries
4. Artificial intelligence applications throughout the battery lifecycle
5. Converter topologies and control strategies for battery energy storage systems

Xianbin Qi is anAssociateProfessor and doctoral supervisor at Hefei University of Technology. He received his M.S. and Ph.D. degrees in Electrical Engineering from Harbin Institute of Technology in 2019 and 2024, respectively. From 2022 to 2023, he was a visiting scholar at Aalborg University in Denmark. He has published over 30 high-level SCI/EI papers as the first/corresponding author and has been authorized or filed for more than 40 national invention patents. His research focuses on battery active systems, high-efficiency power conversion technologies for power electronics, special power supplies, and high-performance power conversion equipment.


