Automated battery database

• Unité de recherche: INNOSUISSE
• Numéro de projet: 53135.1 IP-EE
• Titre du projet anglais: Automated battery database

Description succincte (Allemand)

Automated battery database

Description succincte (Anglais)

Automated battery database

Résumé des résultats (Abstract) (Allemand)

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