Automated feature extraction and selection for data-driven models of rapid battery capacity fade and end of life
Lithium-ion cells may experience rapid degradation in later life, especially with more extreme usage protocols. The onset of rapid degradation is called the ‘knee point’, and forecasting it is important for the safe and economically viable use for batteries. We propose...
Main Authors: | , |
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Format: | Journal article |
Language: | English |
Published: |
IEEE
2021
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