DocumentCode :
3770342
Title :
An accurate SOC estimation system for lithium-ion batteries by EKF with dynamic noise adjustment
Author :
Lei Lin;Masahiro Fukui;Kyotsugu Takaba
Author_Institution :
Dept. Electronic and Computer Engineering, Ritsumeikan University, Kusatsu, Japan
fYear :
2015
Firstpage :
33
Lastpage :
36
Abstract :
Based on an SOC (State of Charge) estimation system for Lithium-ion battery by EKF (Extended Kalman filter), we have improved the accuracy by dynamic adjusting of noises in the battery model. Firstly, the battery model and the SOC (State of Charge) estimation algorithm by EKF are explained. Then, static optimization for the process noise and observation noise in the battery model is discussed. Afterward, an adaptive noise tuning method is proposed and its accuracy is evaluated by some examinations. The error by the static method is 0.97% and 1.21% in different test patterns. The average of the SOC estimation errors with the adaptive noise tuning is 0.87% and 1.16%. Significant improvement of accuracy has been achieved.
Keywords :
"Batteries","Tuning","Mathematical model","Estimation","Discharges (electric)","Kalman filters","Adaptation models"
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies (ISCIT), 2015 15th International Symposium on
Type :
conf
DOI :
10.1109/ISCIT.2015.7458300
Filename :
7458300
Link To Document :
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