State of Health Estimation Procedure for Lithium-Ion Batteries Using Partial Discharge Data and Support Vector Regression

State of Health Estimation Procedure for Lithium-Ion Batteries Using Partial Discharge Data and Support Vector Regression

Battery aging is a complex phenomenon, and precise state of health (SoH) monitoring is essential for effective battery management. This paper presents a data-driven method for SoH estimation based on support vector regression (SVR), utilizing features built from both full and partial discharge capac...

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Bibliographic Details
Main Authors: Emil Petkovski, Iacopo Marri, Loredana Cristaldi, Marco Faifer
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Energies
Subjects:
lithium-ion battery
battery degradation
prognostics
machine learning
SoH
Online Access:https://www.mdpi.com/1996-1073/17/1/206

Internet

https://www.mdpi.com/1996-1073/17/1/206

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