Track
Testing
Date
Wednesday, November 8, 2023
Time
12:45 PM - 1:15 PM
Name
Aging prediction for Li-ion Batteries
Description
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.
Speakers
Location Name
Palladium