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Yinpeng Wu

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Articles

Data-Driven Prediction of Li-Ion Battery Degradation Using Predicted Features

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By Wei Xing, Akeel Shah, Nadir Shah, Yinpeng Wu
| MDPI
Abstract : For their emergent application in electric vehicles, the development of fast and accurate algorithms to monitor the health status of batteries and aid decision-making in relation to maintenance and replacement is now of paramount importance. Data-driven approaches are preferred due to the difficulties associated with defining valid models for system and parameter identification. In recent years, the use of features to enhance data-driven methods has become commonplace.
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