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 :
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