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Updated: Jul 8, 2025

A Protocol for Electrochemical Evaluations and State of Charge Diagnostics of a Symmetric Organic Redox Flow Battery
Published on: February 13, 2017
SOC Estimation of Vanadium Redox Flow Batteries Based on the ISCSO-ELM Algorithm
Dong Xiao1,2, Boyan Li1,2, Jiawei Shan1,2,3
1School of Information Science and Engineering, Northeastern University, 110819 Shenyang, China.
Abstract:
This study focuses on the stage of charge (SOC) estimation for vanadium redox flow batteries (VFBs), establishing an electrochemical model that provides parameters, including ion concentration. Second, considering the capacity decay of VFBs, an extreme learning machine (ELM) combined with an improved sand cat swarm optimization algorithm, named ISCSO-ELM, is integrated with SOC estimation to predict the battery's SOC more effectively.
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