LAPSE:2023.10715
Published Article
LAPSE:2023.10715
An All-Vanadium Redox Flow Battery: A Comprehensive Equivalent Circuit Model
Muhammed Samil Yesilyurt, Huseyin Ayhan Yavasoglu
February 27, 2023
Abstract
In this paper, we propose a sophisticated battery model for vanadium redox flow batteries (VRFBs), which are a promising energy storage technology due to their design flexibility, low manufacturing costs on a large scale, indefinite lifetime, and recyclable electrolytes. Primarily, fluid distribution is analysed using computational fluid dynamics (CFD) considering only half-cells. Based on the analysis results, a novel model is developed in the MATLAB Simulink environment which is capable of identifying both the steady-state and dynamic characteristics of VRFBs. Unlike the majority of published studies, the inherent characteristics of the flow battery, such as shunt current, ion diffusion, and pumping energy consumption, are considered. Furthermore, simplified charge transfer resistance (CTR) is taken into account based on electrochemical impedance spectroscopy (EIS) measurement results. The accuracy of the model was determined by comparing the simulation results generated by the equivalent circuit battery model developed in this study with real datasets. The obtained results indicate that the developed model has an accuracy of 3% under the sample operating conditions selected. This study can also be used to fill the gap left by the absence of the VRFB battery model in commonly used programs for renewable energy systems, such as TRNSYS.
Keywords
battery model, flow battery, Matlab, vanadium battery
Suggested Citation
Yesilyurt MS, Yavasoglu HA. An All-Vanadium Redox Flow Battery: A Comprehensive Equivalent Circuit Model. (2023). LAPSE:2023.10715
Author Affiliations
Yesilyurt MS: Mechatronics Engineering, Yildiz Technical University, Istanbul 34349, Türkiye
Yavasoglu HA: Mechatronics Engineering, Yildiz Technical University, Istanbul 34349, Türkiye [ORCID]
Journal Name
Energies
Volume
16
Issue
4
First Page
2040
Year
2023
Publication Date
2023-02-18
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en16042040, Publication Type: Journal Article
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LAPSE:2023.10715
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https://doi.org/10.3390/en16042040
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