Open AccessParameters Sensitivity Analysis of Lithium Batteries Composite Equivalent Model for SOC Estimation
Author(s) -
Zhi Duan Cai,
Jing Yun Xu,
Xiao Yue Sun,
Li Quan
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1314/1/012039
Subject(s) - sensitivity (control systems) , battery (electricity) , state of charge , matlab , control theory (sociology) , correctness , kalman filter , computer science , estimation theory , extended kalman filter , lithium ion battery , algorithm , engineering , power (physics) , electronic engineering , artificial intelligence , physics , control (management) , quantum mechanics , operating system
For the lithium battery electrochemical composite equivalent model, the sensitivity of model parameters to the battery state of charge (SOC) estimation is analysed in order to determine the influence of model parameters on SOC estimation and provide optimization basis for SOC estimation algorithm based on battery model. Firstly, the sensitivity analysis method of model parameters is defined, and the sensitivity of model parameters to SOC estimation of lithium ion batteries is quantitatively analysed based on MATLAB software. Then, based on MATLAB /Simulink, the extended Kalman filter algorithm is used to simulate the SOC estimation under variable model parameters and analyse the influence of parameter changes on the SOC value. The experimental results show the correctness and validity of the quantitative analysis results of parameter sensitivity, and provide the corresponding basis for the research of SOC estimation algorithm of lithium-ion battery variable parameter model.