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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:1654843083

  Axel Fuerst
Michael Hess