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Research unit
INNOSUISSE
Project number
120.537 IP-EE
Project title
Automated battery database

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Key words
(English)
Energy & environment, Energy storage
Abstract
(English)
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