DocumentCode
136614
Title
The research on battery SOC estimation within colored noise
Author
Lianbo Du ; Ximing Cheng
Author_Institution
Nat. Eng. Lab. for Electr. Vehicles, Beijing Inst. of Technol., Beijing, China
fYear
2014
fDate
Aug. 31 2014-Sept. 3 2014
Firstpage
1
Lastpage
5
Abstract
In electric vehicles, the colored noise signal in current measurement could cause the battery SOC estimation inaccurate and divergent. In order to solve this problem, our authors used the colored noise as the state variables for Kalman filtering algorithm to reduce influences on the SOC estimation accuracy. Experimental results showed that the filtering method used in this paper could improve the accuracy for battery SOC estimation on the colored noise impacts.
Keywords
Kalman filters; electric current measurement; electric vehicles; noise; secondary cells; Kalman filtering algorithm; SOC estimation accuracy; battery SOC estimation; colored noise signal; current measurement; electric vehicles; filtering method; state of charge; Batteries; Colored noise; Electric vehicles; Estimation; Kalman filters; Mathematical model; System-on-chip; Colored noise; Electric vehicles; Kalman filter; Lithium-ion battery; SOC estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
Conference_Location
Beijing
Print_ISBN
978-1-4799-4240-4
Type
conf
DOI
10.1109/ITEC-AP.2014.6940885
Filename
6940885
Link To Document