State of Health Estimation for Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy and a Multi-Scale Kernel Extreme Learning Machine

State of Health Estimation for Lithium-Ion Batteries Using Electrochemical Impedance Spectroscopy and a Multi-Scale Kernel Extreme Learning Machine

An accurate state of health (SOH) estimation for lithium-ion batteries (LIBs) is crucial for reliable operations and extending service life. While electrochemical impedance spectroscopy (EIS) effectively characterizes LIBs degradation patterns, the high dimensionality of EIS data poses challenges fo...

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Bibliographic Details
Main Authors: Jichang Peng, Ya Gao, Lei Cai, Ming Zhang, Chenghao Sun, Haitao Liu
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:World Electric Vehicle Journal
Subjects:
lithium-ion battery
equivalent circuit model
relaxation time distribution
battery health state
kernel extreme learning machine
Online Access:https://www.mdpi.com/2032-6653/16/4/224
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