DocumentCode :
3731079
Title :
Battery SOC estimating using a fractional order unscented Kalman filter
Author :
Chuanxin Wang; Qin Huang; Rui Ling
Author_Institution :
College of Automation, Chongqing University, 400044, China
fYear :
2015
Firstpage :
1268
Lastpage :
1273
Abstract :
This paper presented an algorithm estimating state of charge of Lithium-ion battery by fractional order unscented Kalman filter. Lithium-ion battery was modeled by fractional order state space model. Then the fractional order state space model was discretized and implemented by unscented Kalman filter. The estimating result indicates the stability and accuracy of this algorithm.
Keywords :
"Batteries","Kalman filters","Computers","Microcontrollers"
Publisher :
ieee
Conference_Titel :
Chinese Automation Congress (CAC), 2015
Type :
conf
DOI :
10.1109/CAC.2015.7382694
Filename :
7382694
Link To Document :
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