Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Improved Variational Mode Decomposition and Machine Learning Algorithm

Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Improved Variational Mode Decomposition and Machine Learning Algorithm

Remaining useful life (RUL) prediction of batteries is important for the health management and safety evaluation of lithium-ion batteries. Because lithium-ion batteries have capacity recovery and noise interference during actual use, direct use of measured capacity data to predict their RUL generali...

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Bibliographic Details
Main Authors: Chuang Sun, An Qu, Jun Zhang, Qiyang Shi, Zhenhong Jia
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
lithium-ion battery
variational mode decomposition
remaining useful life prediction
long short-term memory
Gaussian process regression
Online Access:https://www.mdpi.com/1996-1073/16/1/313

Internet

https://www.mdpi.com/1996-1073/16/1/313

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