State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization

State of Health Estimation for Lithium-Ion Batteries Using an Explainable XGBoost Model with Parameter Optimization

Accurate and reliable estimation of the state of health (SOH) of lithium-ion batteries is crucial for ensuring safety and preventing potential failures of power sources in electric vehicles. However, current data-driven SOH estimation methods face challenges related to adaptiveness and interpretabil...

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Bibliographic Details
Main Authors: Zhenghao Xiao, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Batteries
Subjects:
lithium-ion battery
state of health
health feature extraction
eXtreme gradient boosting
explainability analysis
Online Access:https://www.mdpi.com/2313-0105/10/11/394
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