Early prediction of lithium-ion cell degradation trajectories using signatures of voltage curves up to 4-minute sub-sampling rates

Early prediction of lithium-ion cell degradation trajectories using signatures of voltage curves up to 4-minute sub-sampling rates

<p>Feature-based machine learning models for capacity and internal resistance (IR) curve prediction have been researched extensively in literature due to their high accuracy and generalization power. Most such models work within the high frequency of data availability regime, e.g., voltage res...

書誌詳細
主要な著者:	Ibraheem, R, Wu, Y, Lyons, T, dos Reis, G
フォーマット:	Journal article
言語:	English
出版事項:	Elsevier 2023

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