Predictive Operation of Battery Energy Storage Systems: Beyond Predictive Maintenance

Bertha (Dr. Qian Liu) is currently General Manager of Energy Storage Business for France & BeNeLux at CATL. She is Industrial Mentor at Shanghai JiaoTong University as well as Vice Chairperson of Advanced Battery Concept Committee which is a sub-committee of American Society of Automotive Engineers (SAE). She worked as a postdoctoral fellow at Karlsruhe Institute of Technology (KIT) in Germany after receiving her Dr. rer. nat. degree at University of Salzburg in Austria and Master of Science degree at Ulm University in Germany. She has 17 years' experience in the field of lithium-ion batteries since 2008. After joining CATL at 2017, she has worked as senior cutting-edge R&D engineer, chief cell development engineer, cell manager, senior product solution manager, leading teams to overcome many technical challenges such as sodium-ion batteries, AB batteries, high-voltage batteries, low-temperature technology etc., and has applied for more than 685 patents, among them 165 patents have been issued.

Dr. Stephan Rohr is Co-CEO at TWAICE. TWAICE supports enterprises across industries with predictive battery analytics software based on digital twins. Customers are empowered to develop and use battery systems more efficiently and sustainably while making them more reliable and durable. Before founding TWAICE with Dr. Michael Baumann, Stephan completed his Ph.D. at the Technical University of Munich after working in start-ups, PE, and in consulting. Stephan's battery specific domain expertise derives from over 6 years of academic research into Li-ion batteries with a particular focus on the economic implications.

Gaëlle Ryckebusch leads SAFT (TotalEnergies) digital strategy for BESS projects in operation. She focuses on leveraging advanced analytics and predictive modeling to enhance the operation, flexibility, and value stacking of Battery Energy Storage Systems. With a background spanning grid monitoring, renewable energy production, BESS asset management and digital product leadership, she works at the intersection of technical teams and business strategy to deliver data driven solutions for BESS performance.

Holger Hesse is Professor at the University of Applied Sciences Kempten. He holds a PhD in physics and he gained expert knowledge in the fields of battery storage and energy markets through various stages in industry and academia. He was postdoctoral researcher at Technical University of Munich and consultant for BMW, e.on and other well renowned industrial players. His research team has a particular focus on battery storage modelling including techno-economic analyses, energy dispatch optimization and machine learning derived control of systems.

Vivek Teja Tanjavooru is a research associate at Kempten University of Applied Sciences and a PhD candidate at the Technical University of Munich (TUM), Germany. He received the B.Tech. degree in Mechanical Engineering from the Indian Institute of Technology (IIT) Guwahati, India, and the M.Sc. degree in Power Engineering from TUM, Germany. He also brings four years of industrial experience in the oil & gas and petrochemical manufacturing sectors.His PhD research focuses on the intelligent control and thermal modeling of multi-string and modular battery energy storage systems (BESS) for grid applications, emphasizing electro-thermal optimization, predictive control, and system-level energy management. He applies Model Predictive Control (MPC) and Reinforcement Learning (RL) to improve battery availability, efficiency, and lifetime through adaptive power-split and temperature control strategies. By integrating digital twin modeling, thermal management, and multi-objective optimization, his work advances sustainable, high-performance energy storage solutions for renewable energy integration.