SATW: Automated battery database

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Automated battery database

Lay summary

Automated battery database

Abstract

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

Last updated:10.06.2022

INNOSUISSE
Original data source 48655 i

80 Energy & Environment
870 Industrial production, and technology

2 People

Axel Fuerst

Michael Hess