Recording of Tuesday, June 23, 2026 | The smarter E Europe Conferences 2026 | Language: English | Duration: 12:31 .

Advancements in CATL's Battery Energy Storage and Performance Management

CATL emphasizes its commitment to addressing customer challenges through innovative product developments like the Tenor, which utilizes sodium ion technology for energy storage. The company has faced customer concerns regarding the availability and continuity of its products, which has impacted operational plans. A multi-million dollar investment aims to enhance asset performance and system availability, resulting in the creation of the TSED platform. This new platform provides real-time performance data, focusing on critical indicators like state of charge and battery health. Efforts to optimize battery energy storage systems also involve monitoring performance through algorithms that align operational strategies with warranty conditions. Early warning systems enhance efficiency by predicting performance issues based on real-time data. Case studies highlight the importance of evenly distributing operational loads among cores to prolong system lifespan while managing temperature variations effectively. Overall, these enhancements aim to maximize asset performance, ensure informed decision-making, and foster customer engagement.

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Speaker

Aleksej Krükov
General Manager Overseas Service EMEA
Contemporary Amperex Technology Limited

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 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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