Dr. Bertha (Qian) Liu

Job Title: General Manager, Energy Storage Business - France, Benelux Region
Company: Contemporary Amperex Technology Co., Limited
Country: China

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.

June 23, 2026From Cell Intelligence to System Value: Data-Driven Predictive Operation in Modern BESS

Sessions

Session

Predictive Operation of Battery Energy Storage Systems: Beyond Predictive Maintenance

Tuesday, June 23, 2026, 02:30 pm - 04:00 pm

ICM München Room 13 A

While predictive maintenance has become a well-known concept in battery energy storage, the next step is predictive operation. This approach aims not only to prevent failures, but also to continuously optimize system operation in real time. The goal is to maximize the performance, efficiency and lifetime of the existing hardware in each specific use case. Predictive operation extends beyond the battery cells themselves: Adaptive thermal management, intelligent inverter control and optimal coordination of power electronics all play a crucial role. By anticipating system behavior under different operating scenarios, predictive operation enables asset owners and operators to extract greater value from their storage systems while improving reliability and integration with renewable generation. This session will highlight the latest methods, control strategies and demonstration results that bring predictive operation from research into practice.