DocumentCode
2334872
Title
Lithium ion battery model based on Kalman filter
Author
Hsieh, Yao-Ching ; Chen, Ruei-Ji ; You, Zhen-Hao
Author_Institution
Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
fYear
2012
fDate
18-20 July 2012
Firstpage
850
Lastpage
854
Abstract
In this paper, the electrochemical properties of lithium-ion batteries are studied. Primary factors, such as state-of-charge, and battery current are separately experimented. Kalman filter algorithm is applied to analyze the long-time recorded data, so as to identify the over-potential features during each stage. According to the features, lumped circuit elements can be adopted to mimic the battery´s dynamic behavior.
Keywords
Kalman filters; secondary cells; Kalman filter; battery current; battery dynamic behavior; electrochemical properties; lithium ion battery model; lumped circuit elements; state-of-charge; Batteries; Battery charge measurement; Current measurement; Integrated circuit modeling; Kalman filters; System-on-a-chip; Voltage measurement; Kalman filter; battery model; lithium-ion battery;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4577-2118-2
Type
conf
DOI
10.1109/ICIEA.2012.6360843
Filename
6360843
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