The Effect of Input Parameter Variation on the Accuracy of a Vanadium Redox Flow Battery Simulation Model

Accurately predicting battery behavior, while using low input data, is highly desirable in embedded simulation architectures like grid or integrated energy system analysis. Currently, the available vanadium redox flow (VRFB) models achieve accurate predictions of electrochemical behavior control algorithms, optimization required data scope neglected. In this study, a parametrization tool for DC grey box model developed measurements with 10 kW/100 kWh VRFB. An objective function applied to optimize analyzing accuracy. The based on differential-algebraic system, and an process allows parameter estimation verification reducing scope. Current losses, theoretical storage capacity, open circuit voltage, ohmic cell resistance are used as fitting parameters. Internal phenomena represented by self-discharge current material related losses changing resistance. Upon deviation between shows insignificant increase 2% even 60% reduction. easily adaptable other VRFB integrable into existing architecture.