To broaden the academic horizons of faculty and students and keep pace with cutting-edge technologies in the energy sector, Professor Qian Xu of our institute invited Professor Chu Fengming from Beijing University of Technology to deliver an academic report titled "Application of Artificial Intelligence in Fluid Battery Energy Storage" at Lecture Hall 1517 of the Energy Research Institute on November 27. The lecture hall was filled with a vibrant atmosphere, attracting over 50 faculty and students from related fields.

In his report, Professor Chu Fengming began by addressing global climate change and the "double carbon" goals, emphasizing the urgency of developing renewable energy storage technologies. He noted that while solar and wind energy hold immense potential, their intermittency and instability remain critical bottlenecks for large-scale application. Large-scale, long-duration energy storage technology, he argued, is the "golden key" to overcoming these challenges. Professor Chu highlighted flow batteries as a promising long-duration energy storage technology. Unlike traditional batteries, flow batteries achieve decoupling of power and capacity, offering inherent safety and long cycle life. He delved into the complex coupling of electrochemical reactions and multi-phase transport within porous electrodes, from microscopic to macroscopic scales, emphasizing that electrode structure and morphology are key determinants of performance.

A highlight of the report was the forward-looking integration of artificial intelligence with traditional energy research. Professor Chu's team innovatively enhanced multi-component transport through flow channel and electrode morphology reconstruction, combined with AI technology, providing new theoretical guidance for designing the next generation of efficient and intelligent fluid batteries. This innovative approach sparked keen interest and in-depth discussions among the attending faculty and students.

Chu Fengming is a Professor and Doctoral Supervisor at the School of Mechanical and Energy Engineering, Beijing University of Technology, and a core member of the Beijing Key Laboratory of Heat Transfer and Energy Utilization at the university. He earned his Ph.D. from North China Electric Power University in 2018. From July 2018 to March 2025, he worked at the School of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, and has been with the School of Mechanical and Energy Engineering at Beijing University of Technology since April 2025. His primary research focuses on large-scale energy storage and hydrogen energy technologies aimed at achieving the double carbon goals, with particular emphasis on multi-component transport and multi-physics coupling processes involving chemical reactions in fine porous media within flow batteries, fuel cells, and water electrolysis for hydrogen production. In recent years, he has led over 10 research projects, including grants from the National Natural Science Foundation of China and the Beijing Natural Science Foundation. He has published more than 40 high-impact SCI papers as first or corresponding author, including four highly cited ESI papers. He also serves as a Young Editorial Board Member for SCI journals such as Clean Energy Science and Technology and holds positions in several professional academic societies, demonstrating significant academic influence in the energy storage field.