Fitting procedure based on Differential Evolution to evaluate impedance parameters of metal–coating systems

González, Francisco Javier Miranda; Greiner, David; Mena, Vicente; Santana, J.J.; Aznárez, Juan J.

doi:10.1108/ec-11-2018-0513

Cited by 7 publications

(3 citation statements)

References 69 publications

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“…Levenberg-Marquardt [19] Differential evolution [20] Genetic algorithms [21]- [23] Nelder-Mead simplex [15], [24], [25] Fractional-order techniques [26], [27] Particle filter [28] Particle swarm optimization [14], [29], [30] formation, causing undesired implicit weighing effects [23].…”

Section: Optimization Methods Referencesmentioning

confidence: 99%

Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains

2022

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When studying electrochemical systems, EIS practitioners face the challenge of choosing a relevant equivalent electrical circuit to analyze their measurement data and interpreting the role of its components. In this review, we take a closer look at the use of equivalent electrical circuits (EEC) across various application domains. We aim to aid EIS practitioners in determining and evaluating their EEC-based data analysis methodology in light of recent progress from all EIS application domains. We review EEC usage and its interpretation while additionally providing software to automatically search for equivalent electrical circuits from the relevant application domain literature that fit EIS measurements supplied by users. Finally, we make a comparison of the impedimetric behaviour and circuit modelling approaches of a range of different electrochemical systems and discuss some complementary EIS data analysis strategies.

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Section: Optimization Methods Referencesmentioning

confidence: 99%

Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains

2022

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“…: in the bioinformatics and biomedical engineering field, [ 60 ]); particularly, in relation with the type of problem required to be solved in this work, it has been applied in parameter estimation (e.g. : [ 61 – 63 ]).…”

Section: Methodsmentioning

confidence: 99%

A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses

Ramos‐de‐Miguel

Escobar²,

Greiner³

et al. 2022

PLoS Comput Biol

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There is a growing interest in biomedical engineering in developing procedures that provide accurate simulations of the neural response to electrical stimulus produced by implants. Moreover, recent research focuses on models that take into account individual patient characteristics. We present a phenomenological computational model that is customized with the patient’s data provided by the electrically evoked compound action potential (ECAP) for simulating the neural response to electrical stimulus produced by the electrodes of cochlear implants (CIs). The model links the input currents of the electrodes to the simulated ECAP. Potentials and currents are calculated by solving the quasi-static approximation of the Maxwell equations with the finite element method (FEM). In ECAPs recording, an active electrode generates a current that elicits action potentials in the surrounding auditory nerve fibers (ANFs). The sum of these action potentials is registered by other nearby electrode. Our computational model emulates this phenomenon introducing a set of line current sources replacing the ANFs by a set of virtual neurons (VNs). To fit the ECAP amplitudes we assign a suitable weight to each VN related with the probability of an ANF to be excited. This probability is expressed by a cumulative beta distribution parameterized by two shape parameters that are calculated by means of a differential evolution algorithm (DE). Being the weights function of the current density, any change in the design of the CI affecting the current density produces changes in the weights and, therefore, in the simulated ECAP, which confers to our model a predictive capacity. The results of the validation with ECAP data from two patients are presented, achieving a satisfactory fit of the experimental data with those provided by the proposed computational model.

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“…Nasser-Eddine et al presented a two-step identification method combining chronopotentiometry and EIS [21]. Gonzalez et al used a self-adaptive differential evolution algorithm for metal coating systems that had only been tested with experimental inputs [22]. On the other hand, the study of Alavi et al [23] paid attention to the estimation of ECM parameters directly from data gathered in the time domain.…”

Section: Introductionmentioning

confidence: 99%

Automatic Identification Algorithm of Equivalent Electrochemical Circuit Based on Electroscopic Impedance Data for a Lead Acid Battery

Olarte

Ilarduya²,

Zulueta

et al. 2021

Electronics

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Obtaining tools to analyze and predict the performance of batteries is a non-trivial challenge because it involves non-destructive evaluation procedures. At the research level, the development of sensors to allow cell-level monitoring is an innovative path, and electrochemical impedance spectrometry (EIS) has been identified as one of the most promising tools, as is the generation of advanced multivariable models that integrate environmental and internal-battery information. In this article, we describe an algorithm that automatically identifies a battery-equivalent electrochemical model based on electroscopic impedance data. This algorithm allows in operando monitoring of variations in the equivalent circuit parameters that will be used to further estimate variations in the state of health (SoH) and state of charge (SoC) of the battery based on a correlation with experimental aging data corresponding to states of failure or degradation. In the current work, the authors propose a two-step parameter identification algorithm. The first consists of a rough differential evolution algorithm-based identification. The second is based on the Nelder–Mead Simplex search method, which gives a fine parameter estimation. These algorithm results were compared with those of the commercially available Z-view, an equivalent circuit tool estimation that requires expert human input.

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Fitting procedure based on Differential Evolution to evaluate impedance parameters of metal–coating systems

Cited by 7 publications

References 69 publications

Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains

Equivalent Electrical Circuits and Their Use Across Electrochemical Impedance Spectroscopy Application Domains

A phenomenological computational model of the evoked action potential fitted to human cochlear implant responses

Automatic Identification Algorithm of Equivalent Electrochemical Circuit Based on Electroscopic Impedance Data for a Lead Acid Battery

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