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

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1353
Author(s):  
Javier Olarte ◽  
Jaione Martínez de Ilarduya ◽  
Ekaitz Zulueta ◽  
Raquel Ferret ◽  
Unai Fernández-Gámiz ◽  
...  

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.

2022 ◽  
Vol 2148 (1) ◽  
pp. 012024
Author(s):  
Jiangchun Hu ◽  
Luge Sun ◽  
He Feng ◽  
Zhipeng Liu ◽  
Qin Wang

Abstract Corrosion creep of sandstone has great influence on the safety and stability of geotechnical engineering, and it is of great significance to study the creep characteristics of sandstone under the action of hydrochemical corrosion for the long-term stability of geotechnical engineering. Through creep test of corroded rock, the characteristics of rock deformation and strength are analyzed. Combined with electrochemical impedance spectroscopy (EIS), the microcracks of corroded sandstone during creep process are detected, and the variation law of equivalent circuit parameters and the development trend of microcracks during creep process of corroded sandstone are analyzed. The test results show that the creep characteristics of rock samples are related to the hydrochemical environment; The medium-and long-term strength of the solution with high pH value is relatively small, and the difference with uniaxial compressive strength is large; Moreover, there is a certain correlation between creep of rock samples and equivalent circuit parameters. In this paper, the influence of creep deformation, mechanical properties and hydrochemical environment on sandstone creep is analyzed, and the research results can provide reference for stability analysis of related geotechnical engineering.


2010 ◽  
Vol 19 (04) ◽  
pp. 637-643 ◽  
Author(s):  
J. H. CAI ◽  
N. SATOH ◽  
M. YANAGIDA ◽  
L. Y. HAN

The numerical least-square fitting is a general method for the extraction of model parameter from experimental data. However, the method suffers from an initial value dependence problem when the method is used in I - V curve fitting. Recently we have proposed a successive large perturbation method (SLPM) to eliminate the initial value dependence problem. In this paper, we test the SLPM by comparing our results with previous published fitting results for various solar cells, such as traditional silicon solar cells and new type of organic solar cells and dye-sensitized solar cells. The method is available not only to the fitting for I - V curve, but also to the fitting for electrochemical impedance spectrum. Our test demonstrates that Newton-like method plus our SLPM is an accurate and robust method for the numerical extraction of equivalent circuit parameters in solar cells.


2019 ◽  
Vol 36 (9) ◽  
pp. 2960-2982
Author(s):  
Francisco González ◽  
David Greiner ◽  
Vicente Mena ◽  
Ricardo M. Souto ◽  
Juan J. Santana ◽  
...  

Purpose Impedance data obtained by electrochemical impedance spectroscopy (EIS) are fitted to a relevant electrical equivalent circuit to evaluate parameters directly related to the resistance and the durability of metal–coating systems. The purpose of this study is to present a novel and more efficient computational strategy for the modelling of EIS measurements using the Differential Evolution paradigm. Design/methodology/approach An alternative method to non-linear regression algorithms for the analysis of measured data in terms of equivalent circuit parameters is provided by evolutionary algorithms, particularly the Differential Evolution (DE) algorithms (standard DE and a representative of the self-adaptive DE paradigm were used). Findings The results obtained with DE algorithms were compared with those yielding from commercial fitting software, achieving a more accurate solution, and a better parameter identification, in all the cases treated. Further, an enhanced fitting power for the modelling of metal–coating systems was obtained. Originality/value The great potential of the developed tool has been demonstrated in the analysis of the evolution of EIS spectra due to progressive degradation of metal–coating systems. Open codes of the different differential algorithms used are included, and also, examples tackled in the document are open. It allows the complete use, or improvement, of the developed tool by researchers.


Author(s):  
Jiapeng Liu ◽  
Ting Hei Wan ◽  
Francesco Ciucci

<p>Electrochemical impedance spectroscopy (EIS) is one of the most widely used experimental tools in electrochemistry and has applications ranging from energy storage and power generation to medicine. Considering the broad applicability of the EIS technique, it is critical to validate the EIS data against the Hilbert transform (HT) or, equivalently, the Kramers–Kronig relations. These mathematical relations allow one to assess the self-consistency of obtained spectra. However, the use of validation tests is still uncommon. In the present article, we aim at bridging this gap by reformulating the HT under a Bayesian framework. In particular, we developed the Bayesian Hilbert transform (BHT) method that interprets the HT probabilistic. Leveraging the BHT, we proposed several scores that provide quick metrics for the evaluation of the EIS data quality.<br></p>


2016 ◽  
Vol 108 (15) ◽  
pp. 152901 ◽  
Author(s):  
Miguel A. Hernández ◽  
Nahum Masó ◽  
Anthony R. West

2015 ◽  
Vol 30 (4) ◽  
pp. 1660-1669 ◽  
Author(s):  
Ashknaz Oraee ◽  
Ehsan Abdi ◽  
Salman Abdi ◽  
Richard McMahon ◽  
Peter J. Tavner

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