This study provides extensive validation for 3D-to-2D model reduction for redox flow batteries (RFBs). This computationally light, 2D model is used to generate a data set of >6,000 unique RFB simulations for statistical quantification.
Significance and Impact
This work spans multiple electrode property values to generate a structure/function data set for a model vanadium redox flow cell. This procedure can be applied to new redox chemistries for in operando statistical quantification as well as be further implemented advanced data science analysis.
- A 3D, macrohomogenous RFB model is validated against experimental data with three fitting parameters
- The 3D model is reduced to a 2D model and validated against experimental data, reducing the computational time
- This 2D model is used to >6,000 electrode configurations to build a robust structure/function data set
- Statistical correlations are computed for each simulation, serving as a parameter sensitivity across polarization conditions