Robust Data-Driven State of Health Estimation of Lithium-Ion Batteries Based on Reconstructed Signals

Robust Data-Driven State of Health Estimation of Lithium-Ion Batteries Based on Reconstructed Signals

The state of health (SoH) of lithium-ion batteries is critical for diagnosing the actual capacity of the battery. Data-driven methods have achieved impressive accuracy, but their sensitivity to sensor noise, missing samples, and outliers remains a limitation for their deployment. This paper proposes...

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Bibliographic Details
Main Authors: Byron Alejandro Acuña Acurio, Diana Estefanía Chérrez Barragán, Juan Carlos Rodríguez, Felipe Grijalva, Luiz Carlos Pereira da Silva
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
data-driven method
state of health estimation
signal reconstruction
regularization operator
statistical features
Online Access:https://www.mdpi.com/1996-1073/18/10/2459
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