DocumentCode :
1920788
Title :
On-line adaptive tuning of a lithium-ion battery cell state of charge observer
Author :
Gagneur, Laurent ; Forgez, Christophe ; Franco, Ana Lucia Driemeyer
Author_Institution :
Renault, Guyancourt, France
fYear :
2013
fDate :
15-19 Sept. 2013
Firstpage :
307
Lastpage :
314
Abstract :
This paper deals with the adaptive tuning of a state of charge observer for a lithium ion battery cell, based on an extended Kalman filter and on the main electrochemical phenomena modeling. A high level parameter to tune the observer is introduced and used to reduce the influence of modeling errors on the state of charge estimate.
Keywords :
Kalman filters; lithium; nonlinear filters; observers; secondary cells; Li; electrochemical phenomena modeling; extended Kalman filter; lithium-ion battery cell state of charge observer; online adaptive tuning; state of charge estimation modeling errors; Adaptation models; Batteries; Kalman filters; Observability; Observers; System-on-chip; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
Conference_Location :
Denver, CO
Type :
conf
DOI :
10.1109/ECCE.2013.6646716
Filename :
6646716
Link To Document :
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