Journal of Power Sources, volume 580, pages 233423
Parameter identification algorithm for dynamic modeling of industrial-scale vanadium redox flow batteries
Publication type: Journal Article
Publication date: 2023-10-01
Journal:
Journal of Power Sources
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 9.2
ISSN: 03787753
Physical and Theoretical Chemistry
Electrical and Electronic Engineering
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Abstract
In this work, we propose a two-stage parameter identification algorithm for the zero-dimensional model of vanadium redox flow battery (VRFB) based on the fitting of the available experimental data. Specifically, in the first stage, the parameters of overpotentials are obtained from the discharge polarization curve at the state of charge of 50%. In the second stage, the parameters of capacity loss and crossover are identified by the minimization of square error between the predicted and experimental charge-discharge curves at a certain value of load current. The algorithm allows to assess the degree of degradation of the battery components, and capture the effects associated with crossover and mass transfer limitations at high load currents and low flow rates. We verify this algorithm with a reference simulation considering the most interesting practical cases of battery use and validate it with three experimental VRFB systems with power and capacity ratings in the range of 5–10 kW and 5–100 kWh, correspondingly. The results show a good agreement with experimental data having an average error value of less than 1%. The results of the study are an important step in further developments of advanced control algorithms for large-scale energy storage systems.
Citations by journals
|
1
2
|
|
|
Journal of Power Sources
|
Journal of Power Sources
2 publications, 50%
|
|
Batteries
|
Batteries
1 publication, 25%
|
|
1
2
|
Citations by publishers
|
1
2
|
|
|
Elsevier
|
Elsevier
2 publications, 50%
|
|
IEEE
|
IEEE
1 publication, 25%
|
|
Multidisciplinary Digital Publishing Institute (MDPI)
|
Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 25%
|
|
1
2
|
- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
{"yearsCitations":{"type":"bar","data":{"show":true,"labels":[2023,2024],"ids":[0,0],"codes":[0,0],"imageUrls":["",""],"datasets":[{"label":"Citations number","data":[1,3],"backgroundColor":["#3B82F6","#3B82F6"],"percentage":["25","75"],"barThickness":null}]},"options":{"indexAxis":"x","maintainAspectRatio":true,"scales":{"y":{"ticks":{"precision":0,"autoSkip":false,"font":{"family":"Montserrat"},"color":"#000000"}},"x":{"ticks":{"stepSize":1,"precision":0,"font":{"family":"Montserrat"},"color":"#000000"}}},"plugins":{"legend":{"position":"top","labels":{"font":{"family":"Montserrat"},"color":"#000000"}},"title":{"display":true,"text":"Citations per year","font":{"size":24,"family":"Montserrat","weight":600},"color":"#000000"}}}},"journals":{"type":"bar","data":{"show":true,"labels":["Journal of Power Sources","Batteries"],"ids":[14844,19798],"codes":[0,0],"imageUrls":["\/storage\/images\/resized\/GDnYOu1UpMMfMMRV6Aqle4H0YLLsraeD9IP9qScG_medium.webp","\/storage\/images\/resized\/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_medium.webp"],"datasets":[{"label":"","data":[2,1],"backgroundColor":["#3B82F6","#3B82F6"],"percentage":[50,25],"barThickness":13}]},"options":{"indexAxis":"y","maintainAspectRatio":false,"scales":{"y":{"ticks":{"precision":0,"autoSkip":false,"font":{"family":"Montserrat"},"color":"#000000"}},"x":{"ticks":{"stepSize":null,"precision":0,"font":{"family":"Montserrat"},"color":"#000000"}}},"plugins":{"legend":{"position":"top","labels":{"font":{"family":"Montserrat"},"color":"#000000"}},"title":{"display":true,"text":"Journals","font":{"size":24,"family":"Montserrat","weight":600},"color":"#000000"}}}},"publishers":{"type":"bar","data":{"show":true,"labels":["Elsevier","IEEE","Multidisciplinary Digital Publishing Institute (MDPI)"],"ids":[17,6953,202],"codes":[0,0,0],"imageUrls":["\/storage\/images\/resized\/GDnYOu1UpMMfMMRV6Aqle4H0YLLsraeD9IP9qScG_medium.webp","\/storage\/images\/resized\/6scCJegesojp2jubwY3uKCzTAmgsaH2GIFlg6Hfk_medium.webp","\/storage\/images\/resized\/MjH1ITP7lMYGxeqUZfkt2BnVLgjkk413jwBV97XX_medium.webp"],"datasets":[{"label":"","data":[2,1,1],"backgroundColor":["#3B82F6","#3B82F6","#3B82F6"],"percentage":[50,25,25],"barThickness":13}]},"options":{"indexAxis":"y","maintainAspectRatio":false,"scales":{"y":{"ticks":{"precision":0,"autoSkip":false,"font":{"family":"Montserrat"},"color":"#000000"}},"x":{"ticks":{"stepSize":null,"precision":0,"font":{"family":"Montserrat"},"color":"#000000"}}},"plugins":{"legend":{"position":"top","labels":{"font":{"family":"Montserrat"},"color":"#000000"}},"title":{"display":true,"text":"Publishers","font":{"size":24,"family":"Montserrat","weight":600},"color":"#000000"}}}}}
Metrics
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Bogdanov S. et al. Parameter identification algorithm for dynamic modeling of industrial-scale vanadium redox flow batteries // Journal of Power Sources. 2023. Vol. 580. p. 233423.
GOST all authors (up to 50)
Copy
Bogdanov S., Parsegov S. E., Schubert C., Ibanez F. M., Pettinger K., Pugach M. Parameter identification algorithm for dynamic modeling of industrial-scale vanadium redox flow batteries // Journal of Power Sources. 2023. Vol. 580. p. 233423.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.jpowsour.2023.233423
UR - https://doi.org/10.1016%2Fj.jpowsour.2023.233423
TI - Parameter identification algorithm for dynamic modeling of industrial-scale vanadium redox flow batteries
T2 - Journal of Power Sources
AU - Bogdanov, Stanislav
AU - Parsegov, Sergei E.
AU - Schubert, Christina
AU - Ibanez, Federico M.
AU - Pettinger, Karl-Heinz
AU - Pugach, Mikhail
PY - 2023
DA - 2023/10/01 00:00:00
PB - Elsevier
SP - 233423
VL - 580
SN - 0378-7753
ER -
Cite this
BibTex
Copy
@article{2023_Bogdanov,
author = {Stanislav Bogdanov and Sergei E. Parsegov and Christina Schubert and Federico M. Ibanez and Karl-Heinz Pettinger and Mikhail Pugach},
title = {Parameter identification algorithm for dynamic modeling of industrial-scale vanadium redox flow batteries},
journal = {Journal of Power Sources},
year = {2023},
volume = {580},
publisher = {Elsevier},
month = {oct},
url = {https://doi.org/10.1016%2Fj.jpowsour.2023.233423},
pages = {233423},
doi = {10.1016/j.jpowsour.2023.233423}
}
Labs
Profiles