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SOH estimation and RUL prediction of lithium batteries based on multidomain feature fusion and CatBoost model

Abstract In this paper, a lithium‐ion battery State of Health (SOH) estimation algorithm is proposed based on the fusion of multidomain features and the application of a CatBoost model. The aim is to address the issue of low prediction accuracy in SOH caused by the utilization of single‐feature extr...

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Principais autores: Mei Zhang, Jun Yin, Wanli Chen
פורמט: Artigo
שפה:Inglês
יצא לאור: Wiley 2023-09-01
סדרה:Energy Science & Engineering
נושאים:
CatBoost model
feature fusion
multidomain features
SOH
גישה מקוונת:https://doi.org/10.1002/ese3.1506
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