Automated battery database

• Unité de recherche: INNOSUISSE
• Numéro de projet: 120.537 IP-EE
• Titre du projet anglais: Automated battery database

Mots-clé (Anglais)

Energy & environment, Energy storage

Résumé des résultats (Abstract) (Anglais)

Aging is one of the three most important aspects of Li-ion batteries (aging, cost & safety) and needs to be forecasted precisely. This project develops an automated database for battery aging being used to train machine-learning algorithms to predict real world aging for Europe?s battery value chain