PT  - JOURNAL ARTICLE
AU  - Chen, Shaohua
AU  - Kan, Wei
AU  - Yang, Yichen
AU  - Liu, Shuyang
AU  - Wang, Miaomiao
TI  - Lithium Battery SOC Estimation Based on EKF-DEKF Composite Model
DP  - 2023 Dec 6
TA  - Manufacturing Technology Journal
PG  - 613--622
VI  - 23
IP  - 5
AID - 10.21062/mft.2023.093
IS  - 12132489
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.