DocumentCode :
642969
Title :
Nonlinear observability and identifiability of single cells in battery packs
Author :
Rausch, M. ; Streif, Stefan ; Pankiewitz, Christian ; Findeisen, Rolf
Author_Institution :
Robert Bosch Battery Syst. GmbH, Germany
fYear :
2013
fDate :
28-30 Aug. 2013
Firstpage :
401
Lastpage :
406
Abstract :
Lithium-ion batteries currently offer the best tradeoff between objectives like performance, energy density and lifetime. To serve the demands of many applications, often a large number of single battery cells are combined into modules or packs of batteries. However, the determination of state of charge and parameters of the single cells is important for the reliable and safe operation of batteries. In the present paper, we investigate the observability and identifiability of cells in battery packs, realized in parallel and serial connections. The analysis is based on linear and nonlinear observability tests exploiting an equivalent circuit model. This leads to conclusive findings concerning the feasibility of estimating the states of single cells from lumped measurements. As shown for cells in parallel connection, one voltage and one current sensor are sufficient to determine state of charge and model parameters of the individual cells. The results are illustrated by simulations.
Keywords :
electric charge; equivalent circuits; parameter estimation; secondary cells; battery pack; battery reliable operation; battery safe operation; equivalent circuit model; linear observability test; lithium-ion battery; lumped measurement; nonlinear observability; single cell identifiability; single cell parameter identification; state of charge; Analytical models; Batteries; Current measurement; Estimation; Integrated circuit modeling; Observability; System-on-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications (CCA), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
ISSN :
1085-1992
Type :
conf
DOI :
10.1109/CCA.2013.6662782
Filename :
6662782
Link To Document :
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