Recording of Tuesday, June 23, 2026 | The smarter E Europe Conferences 2026 | Language: English | Duration: 3:03 .

Optimizing Battery Storage Systems with Predictive Operation and Advanced Algorithms

Holger Hessen, head of the Smart Energy Research Group at Campton University, discusses the optimization of battery storage systems at the ees conference. The focus is on predictive operation, which transitions from merely understanding battery capabilities to effectively managing these assets for maximum value. Key components include forecasts, models, operational data, and optimization methodologies. Different domains, such as battery cell characteristics and system behavior, emphasize the need for data-driven analytics and forecasting. Advanced algorithms play a crucial role in achieving optimal performance, providing the control mechanisms necessary to efficiently handle complex tasks and large data processing. Their importance spans various fields, such as technology, finance, and healthcare, where reliable decision-making is essential. Overall, the integration of predictive operation and advanced algorithms is vital for enhancing the functionality and efficiency of energy storage solutions.

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Speaker

Prof. Dr. Holger Hesse
Head of Smart Energy Systems Research Group
University of Applied Sciences Kempten

Talk of session: Predictive Operation of Battery Energy Storage Systems: Beyond Predictive Maintenance

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.

Further Talks of this session:

From Cell Intelligence to System Value: Data-Driven Predictive Operation in Modern BESS

Speaker

Aleksej Krükov
General Manager Overseas Service EMEA
Contemporary Amperex Technology Limited

To Talk

From System Insight to Smart Operation: AI-Based Asset Management for BESS Fleets

Speaker

Gaëlle Ryckebusch
Head of Digital Products Strategy - Energy Storage Systems Division
SAFT
France

To Talk

From Market to Operation: Leveraging Forecasts for Predictive BESS Dispatch

Speaker

Dr. Raphael Hollinger
Managing Director
The Mobility House Energy GmbH
Germany

To Talk

From Data to Decisions: Predictive Maintenance and Analytics for Large-Scale BESS Fleets

Speaker

Dr. Stephan Rohr
CEO
TWAICE
Germany

To Talk

Beyond Today's BESS Operation: Adaptive Electro-Thermal Control and the Future of Predictive Systems

Speaker

Vivek Tanjavooru
Research Associate
Kempten University of Applied Sciences
Germany

To Talk

Panel Discussion

To Talk

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