Artificial Feature Extraction for Estimating State-of-Temperature in Lithium-Ion-Cells Using Various Long Short-Term Memory Architectures
The temperature in each cell of a battery system should be monitored to correctly track aging behavior and ensure safety requirements. To eliminate the need for additional hardware components, a software based prediction model is needed to track the temperature behavior. This study looks at machine...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |