State of Health Estimation and Remaining Useful Life Prediction for a Lithium-Ion Battery with a Two-Layer Stacking Regressor

State of Health Estimation and Remaining Useful Life Prediction for a Lithium-Ion Battery with a Two-Layer Stacking Regressor

The development of a machine-learning method with high accuracy, high generalization, and strong robustness for evaluating battery health states is essential in the field of battery health management. In this work, the data-driven stacking regressor (SR) method with a two-layer diagnostic framework...

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Bibliographic Details
Main Authors: Jun Yuan, Zhili Qin, Haikun Huang, Xingdong Gan, Shuguang Li, Baihai Li
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
lithium-ion battery
data-driven machine learning
stacking regressor
SOH estimation
RUL prediction
Online Access:https://www.mdpi.com/1996-1073/16/5/2313

Internet

https://www.mdpi.com/1996-1073/16/5/2313

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