A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation

A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation

Abstract Accurate estimation of the state of charge (SOC) of lithium-ion batteries (LiBs) proportionally impacts the efficiency of battery management systems (BMS) considering the dynamic and non-linear behavior of LiBs. Changes in the activities of the cathode and anode materials and internal resis...

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Bibliographic Details
Main Authors: Kaihua Yao, Xinyu Yan, Xiling Mao, Mengwei Li, Xiao Li, Ziyu Lian, Yuxiang Han
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Lithium-ion batteries
Electric vehicles
SOC estimation
Improved dung beetle optimizer
Extreme learning machine
High robustness
Online Access:https://doi.org/10.1038/s41598-025-00482-9
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https://doi.org/10.1038/s41598-025-00482-9

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