DocumentCode :
1324075
Title :
Embedded Fractional Nonlinear Supercapacitor Model and Its Parametric Estimation Method
Author :
Bertrand, Nicolas ; Sabatier, Jocelyn ; Briat, Olivier ; Vinassa, Jean-Michel
Author_Institution :
Lab. de l´´Integration du Mater. au Syst., Univ. de Bordeaux 1, Talence, France
Volume :
57
Issue :
12
fYear :
2010
Firstpage :
3991
Lastpage :
4000
Abstract :
This paper deals with a supercapacitor (SC) onboard model and its online identification procedure for embedded applications. To take into account its nonlinear behavior, the strategy used in this paper consists, as the first step, in the application of the porous electrode theory to the SC and the approximation of the resulting model. A set of fractional linear systems which are represented by a differential equation involving fractional derivatives is then obtained. Each element of this set represents the behavior of the SC only around one operating voltage. A global nonlinear model is then deduced through an integration method. An online identification procedure has been developed for this nonlinear model. This time identification is based on the mean least square method. Its time behavior has been compared with that of an SC cell for a specific current profile with different levels.
Keywords :
differential equations; embedded systems; parameter estimation; supercapacitors; SC onboard model; differential equation; embedded fractional nonlinear supercapacitor model; fractional derivatives; fractional linear systems; integration method; mean least square method; online identification procedure; operating voltage; parametric estimation method; porous electrode theory; Electrochemical devices; Energy storage; Parameter estimation; Simulation; Supercapacitors; Electrochemical devices; identification; modeling; simulation;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2010.2076307
Filename :
5570987
Link To Document :
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