Themenschwerpunkt
Testing
Datum
Mittwoch, 8. November 2023
Zeit
12:45 - 13:15
Session Name
Aging prediction for Li-ion Batteries
Beschreibung
Data evaluation of battery aging matrices are very time consuming as tests from different State-of-charge, Temperature, Depth of discharge and C-rates have to be analyzed and evaluated to understand the aging of our batteries of interest in the later field application. We show how this can be facilitated by online based automatic aging analysis. Further this data helps to predict the aging into the future to allow proper judgement of remaining battery life.
Referent/in
Raum
Palladium