Manufacturing Technology 2023, 23(5):613-622 | DOI: 10.21062/mft.2023.093

Lithium Battery SOC Estimation Based on EKF-DEKF Composite Model

Shaohua Chen ORCID..., Wei Kan ORCID..., Yichen Yang ORCID..., Shuyang Liu ORCID..., Miaomiao Wang ORCID...
Automation and Electrical Engineering College, Dalian Jiaotong University, Dalian 116028, China

According to the application requirements of SOC in lithium batteries of Unmanned Aerial Vehicle (UAV), an Extended Kalman filter-Double Kalman filter (EKF-DKF) composite model was proposed to optimize the accuracy of the last 20% stage of State of Charge(SOC) estimation. Based on the equivalent model of second-order resistance-capacitance (RC) circuit improvement, the developed method optimized the identification accuracy of parameters, and set up a MATLAB simulation platform to jointly estimate SOC online with EKF and DKF. The data obtained in laboratory test environment were used for simulation.

Keywords: Lithium battery, SOC estimation method, Unmanned aerial vehicle, EKF-DKF composite model
Grants and funding:

This work was supported by the Liaoning Province Natural Science Foundation (2021-Ms-298), Scientific Research Project of Liaoning Education Bureau (JDL2020006)

Received: August 1, 2023; Revised: October 26, 2023; Accepted: November 13, 2023; Published: December 6, 2023  Show citation

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Chen S, Kan W, Yang Y, Liu S, Wang M. Lithium Battery SOC Estimation Based on EKF-DEKF Composite Model. Manufacturing Technology. 2023;23(5):613-622. doi: 10.21062/mft.2023.093.
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