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Synthesizing electrically equivalent circuits for use in electrochemical impedance spectroscopy through grammatical evolution
ID
Kunaver, Matevž
(
Author
),
ID
Žic, Mark
(
Author
),
ID
Fajfar, Iztok
(
Author
),
ID
Tuma, Tadej
(
Author
),
ID
Bürmen, Arpad
(
Author
),
ID
Subotić, Vanja
(
Author
),
ID
Rojec, Žiga
(
Author
)
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MD5: A12F33F1C1D6C60B1E01025DAC474772
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https://www.mdpi.com/2227-9717/9/11/1859
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Abstract
Electrochemical impedance spectroscopy (EIS) is an important electrochemical technique that is used to detect changes and ongoing processes in a given material. The main challenge of EIS is interpreting the collected measurements, which can be performed in several ways. This article focuses on the electrical equivalent circuit (EEC) approach and uses grammatical evolution to automatically construct an EEC that produces an AC response that corresponds to one obtained by the measured electrochemical process(es). For fitting purposes, synthetic measurements and data from measurements in a realistic environment were used. In order to be able to faithfully fit realistic data from measurements, a new circuit element (ZARC) had to be implemented and integrated into the SPICE simulator, which was used for evaluating EECs. Not only is the presented approach able to automatically (i.e., with almost no user input) produce a more than satisfactory EEC for each of the datasets, but it also can also generate completely new EEC configurations. These new configurations may help researchers to find some new, previously overlooked ongoing electrochemical processes.
Language:
English
Keywords:
electrochemical impedance spectroscopy
,
fuel cells
,
optimization
,
evolutionary computation
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FE - Faculty of Electrical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2021
Number of pages:
17 str.
Numbering:
Vol. 9, iss. 11, art. 1859
PID:
20.500.12556/RUL-136222
UDC:
621.39:543.42
ISSN on article:
2227-9717
DOI:
10.3390/pr9111859
COBISS.SI-ID:
81932291
Publication date in RUL:
20.04.2022
Views:
970
Downloads:
112
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Record is a part of a journal
Title:
Processes
Shortened title:
Processes
Publisher:
MDPI
ISSN:
2227-9717
COBISS.SI-ID:
523353113
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.11.2021
Secondary language
Language:
Slovenian
Keywords:
elektrokemična impedančna spektroskopija
,
gorivne celice
,
optimizacija
,
evolucijsko računanje
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0246
Name:
ICT4QoL - Informacijsko komunikacijske tehnologije za kakovostno življenje
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