PT Journal
AU Chen, S
   Kan, W
   Yang, Y
   Liu, S
   Wang, M
TI Lithium Battery SOC Estimation Based on EKF-DEKF Composite Model
SO Manufacturing Technology Journal
PY 2023
BP 613
EP 622
VL 23
IS 5
DI 10.21062/mft.2023.093
DE Lithium battery; SOC estimation method; Unmanned aerial vehicle; EKF-DKF composite model
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.
ER