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Braems, I., Franger, S. & Berthier, F. (2009) Reliable Discrimination of Models Based on EIS Data I. Calibration on Equivalent Electrical Circuits. J. Electrochem. Soc. 156 J81–J91. 
Added by: Richard Baschera (2016-10-21 13:38:38)   Last edited by: Richard Baschera (2016-10-21 14:03:37)
Type de référence: Article
DOI: 10.1149/1.3082127
Numéro d'identification (ISBN etc.): 0013-4651
Clé BibTeX: Braems2009
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Catégories: HORSIMN
Mots-clés: constraint propagation, differential impedance analysis, distinguishability, error structure identification, interval-analysis, set inversion, spectroscopy, systems
Créateurs: Berthier, Braems, Franger
Collection: J. Electrochem. Soc.
Consultations : 2/492
Indice de consultation : 2%
Indice de popularité : 0.5%
Résumé     
We present a test to discriminate equivalent electrical models via electrochemical impedance spectroscopy (EIS) data collected on a frequency response analyzer (FRA). Derived in the set-membership framework, this test is an interesting alternative to classical estimators, as it does not rely on statistical thresholding and bypasses many numerical limitations (initialization, convergence) of nonlinear least-squares methods. Models are systematically discarded when their associated impedance is proved not to satisfy both the experimental data and the uncertainty range of the FRA. In this paper, we detail the methodology adapted to FRA measurements and apply the test on known electrical circuits to evaluate the required uncertainty ranges of different commercial impedance meters. (C) 2009 The Electrochemical Society. [DOI: 10.1149/1.3082127] All rights reserved.
  
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