STM Article Repository

Yang, Bo and Li, Guanjun and Tang, Wencheng and Li, Haoyuan (2022) Research on optimized SOC estimation algorithm based on extended kalman filter. Frontiers in Energy Research, 10. ISSN 2296-598X

[thumbnail of pubmed-zip/versions/1/package-entries/fenrg-10-1027439/fenrg-10-1027439.pdf] Text
pubmed-zip/versions/1/package-entries/fenrg-10-1027439/fenrg-10-1027439.pdf - Published Version

Download (2MB)

Abstract

The paper studies the estimation of state of charge (SOC) of batteries. Firstly, the research status of battery management system, battery equivalent model and SOC estimation algorithm is introduced, and the performance of common equivalent circuit model and SOC estimation algorithm in complexity and accuracy is compared and analyzed. On this basis, this paper proposes an extended Kalman filter (EKF) algorithm based on the first-order RC model, and optimizes it by piecewise fitting. The accuracy of the optimized EKF algorithm is greatly improved. Finally, the modeling and simulation are completed through MATLAB/SIMULINK, and the experimental platform is designed and built to test the SOC estimation algorithm based on EKF. The simulation and experimental results verify the accuracy of the estimation algorithm.

Item Type: Article
Subjects: GO for ARCHIVE > Energy
Depositing User: Unnamed user with email support@goforarchive.com
Date Deposited: 11 May 2023 07:11
Last Modified: 02 Nov 2023 06:15
URI: http://eprints.go4mailburst.com/id/eprint/800

Actions (login required)

View Item
View Item