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

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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Bibliographic Details
Main Authors: Mei Zhang, Jun Yin, Wanli Chen
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Energy Science & Engineering
Subjects:
CatBoost model
feature fusion
multidomain features
SOH
Online Access:https://doi.org/10.1002/ese3.1506

Internet

https://doi.org/10.1002/ese3.1506

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