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

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Recording of Tuesday, June 23, 2026 | The smarter E Europe Conferences 2026 | Language: English | Duration: 12:37 .

Insights into Energy Storage Systems and Operational Challenges

TWAICE is an independent analytics company that specializes in energy storage systems, monitoring over 20 gigawatt hours across more than 130 projects. The firm aims to transition utility companies and Independent Power Producers (IPPs) from reactive to proactive energy management. A significant portion of energy storage system operators comes from a solar energy background, influencing data utilization in both solar and Battery Energy Storage Systems (BESS). The BESS enhances data acquisition of critical parameters like temperature and voltage, vital for optimizing energy resources. However, challenges such as inadequate measurement data and the complexity of estimating the State of Charge (SOC) can hinder effective performance assessment. SOC errors, often due to cell imbalances, can limit overall battery capacity, emphasizing the need for accurate SOC calculations for energy trading. Maintenance challenges, such as disconnected components in energy systems and clogged HVAC filters, further complicate operations. These issues can lead to energy loss and safety concerns, necessitating early identification and maintenance to ensure system efficiency.

Automated summarization by AI Conver

Speaker

Dr. Stephan Rohr
CEO
TWAICE
Germany

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:

Speaker

Aleksej Krükov
General Manager Overseas Service EMEA
Contemporary Amperex Technology Limited

To Talk

Speaker

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

To Talk

Speaker

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

To Talk

Speaker

Vivek Tanjavooru
Research Associate
Kempten University of Applied Sciences
Germany

To Talk

To Talk

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