Recording of Tuesday, June 23, 2026 | The smarter E Europe Conferences 2026 | Language: English | Duration: 11:31 .

Performance Optimization in Battery Storage and Energy Systems

Gaëlle Ricobuche from SAFT highlights that optimizing performance in battery storage systems involves more than market conditions. SAFT emphasizes the importance of software integration, with five critical layers, including Battery Management Systems (BMS) and inverter control, essential for accurate real-time site status. Weak integration can lead to miscalculating discharge capacity, risking significant revenue losses due to unmet positions and potential market penalties. Accurate estimation of energy availability is crucial to prevent operational challenges and inefficiencies. SAFT employs predictive maintenance through fleet learning, monitoring battery modules for anomalies and ensuring optimal cell balancing. The combination of local power plant controllers with cloud-based asset performance management enhances market interaction and enables quick fault detection, optimizing performance significantly. Tailored balancing strategies and advanced data science further improve site operations, focusing on long-term revenue and system availability.

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Speaker

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

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 Technology Limited

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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