AI-based Health Prognostics for Battery Energy Storage Systems with Operational Condition Monitoring Data

• Unité de recherche: INNOSUISSE
• Numéro de projet: 108.129 IP-EE
• Titre du projet anglais: AI-based Health Prognostics for Battery Energy Storage Systems with Operational Condition Monitoring Data

Mots-clé (Anglais)

Energy & environment, Energy storage

Résumé des résultats (Abstract) (Anglais)

In order to offer new asset performance management services, Fluence Energy and the ZHAW will develop advanced analytics, in particular AI algorithms, for grid-scale battery energy storage systems based on real-world data from operational plants.