Recording of Tuesday, June 23, 2026 | The smarter E Europe Conferences 2026 | Language: English | Duration: 34:14 .

Optimizing Battery and Energy Management Systems for Enhanced Availability and Performance

Availability is the primary focus for predictive operations in battery and energy management systems, as it has a direct impact on revenue. Detecting anomalies in critical factors like temperature and HVAC is essential to prevent significant losses. A fragmented view among stakeholders complicates the pursuit of optimal performance, underscoring the need for collaboration to align goals and maximize market revenue. The integration of advanced algorithms in Energy Management Systems (EMS) improves operational efficiency and manages thermal stress, but a unified view across diverse systems is necessary for effective management. Standardization and data integration are critical challenges, with current practices only achieving 11% effectiveness. Accurate predictive models and real-time data access enhance optimization efforts, while the importance of human expertise in technical asset management cannot be overstated. Manufacturers must focus on long-term support and work closely with operators to ensure reliability, highlighting the essential balance between technology and expertise in achieving sustained performance.

_{Automated summarization by AI Conver}

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:

Welcome and Introduction

Speaker

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

To Talk

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

Speaker

Aleksej Krükov
General Manager Overseas Service EMEA
Contemporary Amperex Technolog

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

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