Li-Ion Battery SOC Estimation Method Based on the Reduced Order Extended Kalman Filtering

Author(s):  
Oanyong Nam ◽  
Jaemoon Lee ◽  
Jaeho Lee ◽  
Jonghun Kim ◽  
Bo Hyung Cho ◽  
...  
2021 ◽  
Vol 54 (10) ◽  
pp. 336-343
Author(s):  
Jean Kuchly ◽  
Alain Goussian ◽  
Mathieu Merveillaut ◽  
Issam Baghdadi ◽  
Sylvain Franger ◽  
...  

2013 ◽  
Vol 805-806 ◽  
pp. 1659-1663 ◽  
Author(s):  
Ze Cheng ◽  
Qiu Yan Zhang ◽  
Yu Hui Zhang

The real-timely estimation of the SOC (state of charge) is the key technology in Li-ion battery management system. In this paper, to overcome the error of the SOC estimation of Extended Kalman filter (EKF), a new estimation method based on modified-strong tracking filter (MSTF) is applied to SOC estimation of Li-ion battery, based on the second-order RC equivalent circuit model. Experiments are made to compare the new filter with the EKF and Coulomb counting approach (Ah). The simulation results demonstrate that the new filter algorithm MSTF used in this paper has higher filtering accuracy under the same conditions.


2012 ◽  
Vol 95 ◽  
pp. 227-237 ◽  
Author(s):  
Haifeng Dai ◽  
Xuezhe Wei ◽  
Zechang Sun ◽  
Jiayuan Wang ◽  
Weijun Gu

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