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Physics Informed Machine Learning for Predicting the Degradation Behavior of Lithium-ion Batteries
Wendi Guo
AAU Energy
The Faculty of Engineering and Science
Power Electronics System Integration and Materials
Batteries
Research output
:
PhD thesis
41
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Dive into the research topics of 'Physics Informed Machine Learning for Predicting the Degradation Behavior of Lithium-ion Batteries'. Together they form a unique fingerprint.
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Physics
Physics
100%
Lithium-Ion Batteries
100%
Machine Learning
100%
Keyphrases
Lithium-ion Battery
100%
Physics-informed Machine Learning
100%
Degradation Behavior
100%