RT Journal Article
SR Electronic
A1 Chen, Shaohua
A1 Kan, Wei
A1 Yang, Yichen
A1 Liu, Shuyang
A1 Wang, Miaomiao
T1 Lithium Battery SOC Estimation Based on EKF-DEKF Composite Model
JF Manufacturing Technology Journal
YR 2023
VO 23
IS 5
SP 613
OP 622
DO 10.21062/mft.2023.093
UL https://journalmt.com/artkey/mft-202305-0017.php
AB 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.