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Enhanced porous electrode theory based electrochemical model for higher fidelity modelling and deciphering of the EIS spectra
ID
Mele, Igor
(
Author
),
ID
Zelič, Klemen
(
Author
),
ID
Firm, Marko
(
Author
),
ID
Moškon, Jože
(
Author
),
ID
Gaberšček, Miran
(
Author
),
ID
Katrašnik, Tomaž
(
Author
)
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MD5: BDDC9DDF46925A775556CE0AA07D5964
URL - Source URL, Visit
https://iopscience.iop.org/article/10.1149/1945-7111/ad6eb9
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Abstract
Electrochemical impedance spectroscopy (EIS) is essential for non-invasive battery characterization. This paper addresses the challenge of adequate interpretation of EIS spectra, which are often complicated by overlapping internal phenomena occurring on similar time scales. We present, for the first time, a high-fidelity numerical time-domain electrochemical model that can virtually replicate experimental EIS spectra with three superimposed high-frequency semicircles, a transition to the diffusion tail at elevated imaginary values, and a tilted diffusion tail at low frequencies. These advanced features were made possible by extending state-of-the-art porous electrode model with innovative sub-models for the double layer phenomenon at the carbon black/electrolyte and metal Li-anode/electrolyte interfaces, and transport phenomena of charged species through the solid electrolyte interphase at the Li-anode interface. Additionally, we modelled the diffusion tail inclination by introducing representative active particles of varying sizes. Results from custom-made half-cells confirm the model's ability to decipher EIS spectra more accurately compared to existing models. Moreover, innovative physics-based battery model that is capable of accurately modelling intra-cell phenomena can reveal internal states and physical parameters of batteries using measured EIS spectra. The model, therefore, also enables functionality of an advanced virtual sensor, which is an important diagnostics feature in next-generation battery management systems.
Language:
English
Keywords:
Li-ion battery modelling
,
electrochemical model
,
electrochemical impedance spectroscopy
,
NMC
,
deciphering EIS spectra
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FS - Faculty of Mechanical Engineering
FKKT - Faculty of Chemistry and Chemical Technology
Publication status:
Published
Publication version:
Version of Record
Year:
2024
Number of pages:
17 str.
Numbering:
Vol. 171, no. 8, art. 080537
PID:
20.500.12556/RUL-160434
UDC:
621.35
ISSN on article:
1945-7111
DOI:
10.1149/1945-7111/ad6eb9
COBISS.SI-ID:
205603331
Publication date in RUL:
28.08.2024
Views:
75
Downloads:
54
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Record is a part of a journal
Title:
Journal of the electrochemical society
Publisher:
Electrochemical Society
ISSN:
1945-7111
COBISS.SI-ID:
22698791
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.
Secondary language
Language:
Slovenian
Keywords:
Li-ionske baterije
,
elektrokemijski model
,
elektrokemijska impedančna spektroskopija
,
NMC
,
interpretirati EIS spekter
Projects
Funder:
Other - Other funder or multiple funders
Funding programme:
European Union’s Horizon 2020
Project number:
101103898
Name:
NextBMS
Funder:
Other - Other funder or multiple funders
Funding programme:
European Union’s Horizon 2020
Project number:
101137975
Name:
InnoBMS
Funder:
Other - Other funder or multiple funders
Funding programme:
European Union’s Horizon 2020
Project number:
101069743
Name:
ADVAGEN
Funder:
Other - Other funder or multiple funders
Funding programme:
European Union’s Horizon 2020
Project number:
101069686
Name:
PULSELiON
Funder:
Other - Other funder or multiple funders
Funding programme:
European Union’s Horizon 2020
Project number:
101069910
Name:
NEXTCELL
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0401
Name:
Energetsko strojništvo
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0423
Name:
Sodobni akumulatorji kot podpora zelenemu prehodu in elektromobilnosti
Funder:
ARRS - Slovenian Research Agency
Project number:
J2-2494
Name:
Napredni večskalni model NMC katodnih materialov za izboljšane sisteme za shranjevanje energije naslednje generacije
Funder:
ARRS - Slovenian Research Agency
Project number:
J2-4463
Name:
Natančna fizikalno-osnovana ocena stanja ohranjenosti zdravja litij-ionskih baterij na osnovi meritev nizko-frekvenčne impedance s stohastičnim vzbujanjem “AccessTOinternalSOH”
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