XGBoost-Based Remaining Useful Life Estimation Model with Extended Kalman Particle Filter for Lithium-Ion Batteries

XGBoost-Based Remaining Useful Life Estimation Model with Extended Kalman Particle Filter for Lithium-Ion Batteries

The instability and variable lifetime are the benefits of high efficiency and low-cost issues in lithium-ion batteries.An accurate equipment’s remaining useful life prediction is essential for successful requirement-based maintenance to improve dependability and lower total maintenance costs. Howeve...

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Bibliographic Details
Main Authors:	Sadiqa Jafari, Yung-Cheol Byun
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Series:	Sensors
Subjects:	lithium-ion battery remaining useful life XGBoost particle filter
Online Access:	https://www.mdpi.com/1424-8220/22/23/9522

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