Title :
The mix estimation algorithm for battery State-of-Charge estimator- Analysis of the sensitivity to measurement errors.
Author :
Fabio Codec?;Sergio M. Savaresi;Vincenzo Manzoni
Author_Institution :
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Italy
Abstract :
The problem considered in this paper is the analysis of a battery State-of-Charge estimation algorithm: in particular the mix estimation algorithm. This algorithm provides the estimation mixing two estimation approaches: namely the Coulomb-Counting and the Model-Based. The mix algorithm is qualitatively able to provide a more robust and accurate estimation with respect to the estimation provided by the approaches the algorithm mixes together. The aim of this paper is to analyze the differences between the three algorithms and the advantages produced by the mixing procedure. In particular the paper presents the comparison of the mix algorithm behavior with the Coulomb-Counting and the Model-Based behaviors in case of measure errors.
Keywords :
"State estimation","Algorithm design and analysis","Measurement errors","Testing","Current measurement","Battery charge measurement","Hybrid electric vehicles","Performance evaluation","Performance analysis","Robustness"
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Print_ISBN :
978-1-4244-3871-6
DOI :
10.1109/CDC.2009.5399759