DocumentCode :
2817006
Title :
SOC estimation for Li-Ion batteries based on equivalent circuit diagrams and the application of a Kalman filter
Author :
Rahmoun, Ahmad ; Biechl, Helmuth ; Rosin, Argo
Author_Institution :
Inst. for Appl. Battery Res., Univ. of Appl. Sci. Kempten, Kempten, Germany
fYear :
2012
fDate :
11-13 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
Batteries play an essential role in electric vehicles (EV), and obtain more and more importance also in smart grids due to the non-constant power generation of renewable energy sources. In order to achieve an optimum operation of systems with batteries it is necessary to develop accurate mathematical models for the calculation of the state of charge (SOC), taking into account the individual operation by the user. This paper presents the fundamentals of a method how to determine SOC of lithiumion batteries on the basis of two different equivalent circuit diagrams and an Extended Kalman Filter (EKF). The comparison between measurement and computation results shows a good accordance. The accurate determination of SOC of a battery in an EV is of high importance for the prediction of the distance that can be driven. In the first step the dependency of these parameters on the temperature and on the battery age is neglected.
Keywords :
Kalman filters; electric vehicles; equivalent circuits; lithium compounds; nonlinear filters; secondary cells; smart power grids; Li; Li-Ion batteries; electric vehicles; equivalent circuit diagrams; extended Kalman filter; non-constant power generation; renewable energy sources; smart grids; state of charge estimation; Batteries; Equations; Estimation; Integrated circuit modeling; Kalman filters; Mathematical model; System-on-a-chip; Batteries; Kalman filters; battery management system; equivalent circuits; state estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Quality and Supply Reliability Conference (PQ), 2012
Conference_Location :
Tartu
Print_ISBN :
978-1-4673-1980-5
Electronic_ISBN :
978-1-4673-1978-2
Type :
conf
DOI :
10.1109/PQ.2012.6256238
Filename :
6256238
Link To Document :
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