Study on the State of Health Detection of Li-ion Power Batteries Based on Adaptive Unscented Kalman Filters

1st International Global on Renewable Energy and Development

Yan, Xiangwu^1 ; Deng, Haoran^1 ; Wang, Ling^1 ; Guo, Qi^2

Hebei Key Laboratory of Distributed Energy Storage and Micro-grid, Baoding

071003, China^1

State Grid Hubei Corporation Maintenance Company, Wuhan

430000, China^2

关键词: Adaptive unscented Kalman filter (AUKF);    Li-ion power batteries;    Ohmic resistance;    Real time;    State of charge;    State of health;    Thevenin equivalent circuit;    Unscented Kalman Filter;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/100/1/012086/pdf
DOI  :  10.1088/1755-1315/100/1/012086

来源: IOP

【 摘 要 】

It is essential to estimate the state of charge (SOC) and state of health (SOH) of the monomer battery in the electric vehicle li-ion power battery accurately for extending the li-ion power battery life. Based on the battery Thevenin equivalent circuit model, the paper uses adaptive unscented Kalman filter (AUKF) to estimate the inner ohmic resistance and the state of charge in real time, according to the function between the inner ohmic resistance and the state of health, the state of health can be estimated in real time. The battery charged and discharged experiments were done under two different conditions to verify the feasibility and accuracy of this method.