Revisiting parameter identification in electrochemical impedance spectroscopy: Weighted least squares and optimal experimental design

被引：43

作者：

Ciucci, Francesco ^{[1
]}

机构：

[1] Hong Kong Univ Sci & Technol, Dept Mech Engn, Dept Chem & Biomol Engn, Kowloon, Hong Kong, Peoples R China

来源：

ELECTROCHIMICA ACTA | 2013年 / 87卷

关键词：

Impedance spectroscopy; Optimal experimental design; Electrochemistry; ERROR STRUCTURE; UNKNOWN-PARAMETERS; MIXED CONDUCTORS; MODEL; DISTINGUISHABILITY; TRANSFORMATION; DECONVOLUTION; VALIDATION; PRECISION; SURFACES;

D O I：

10.1016/j.electacta.2012.09.073

中图分类号：

O646 [电化学、电解、磁化学];

学科分类号：

081704 ;

摘要：

In this article several computational tools related to parameter identification and optimal experimental design (OED) in electrochemical impedance spectroscopy (EIS) are introduced. Weighted and iteratively reweighted least squares are revisited and are coupled to an optimization procedure, which aims at increasing the confidence on the estimated parameters and/or at shortening the experimental time without compromising the accuracy of the estimates. A sequential algorithm allowing real-time implementation of OED is also developed. A fuel cell electrode system model is used to test and validate the methods developed. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：532 / 545

页数：14

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