Optimizing State of Charge Estimation in Lithium–Ion Batteries via Wavelet Denoising and Regression-Based Machine Learning Approaches

Optimizing State of Charge Estimation in Lithium–Ion Batteries via Wavelet Denoising and Regression-Based Machine Learning Approaches

Accurate state of charge (SOC) estimation is key for the efficient management of lithium–ion (Li-ion) batteries, yet is often compromised by noise levels in measurement data. This study introduces a new approach that uses wavelet denoising with a machine learning regression model to enhance SOC pred...

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Bibliographic Details
Main Authors: Mohammed Isam Al-Hiyali, Ramani Kannan, Hussein Shutari
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:World Electric Vehicle Journal
Subjects:
Li-ion batteries
state of charge
SOC estimation
wavelet denoising
prediction accuracy
regression machine learning
Online Access:https://www.mdpi.com/2032-6653/16/6/291
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