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Research unit
INNOSUISSE
Project number
53135.1 IP-EE
Project title
Automated battery database

Texts for this project
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Short description
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Abstract
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CategoryText
Short description
(German)
Automated battery database
Short description
(English)
Automated battery database
Abstract
(German)
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