Refractive index for vanadium redox flow battery electrolyte states of charge and health analysis
Valentin I. Vlasov1, Alexei Y. Kuzin1, Irina N. Florya 2, Nikita S.Buriak1, Mikhail A. Pugach1, Yury G. Gladush1, Albert G.Nasibulin1, Dmitry A. Gorin1; 1Skolkovo Institute os Science and Technology, Moscow, Russia; 2University of Science and Technology, Moscow, Russia
Abstract
Refractive Index (RI) - based studies are commonly used for the quality control or analysis of the liquids. Among the important parameters to be analysed are: State of Charge (SoC) and State of Health (SoH) of the Vanadium Redox Flow Battery (VRFB) electrolyte. These parameters are of big importance for the electrical energy grid operator in order to run the electrical grid in a stable way.
Currently proposed SoC and SoH estimation methods are based on modelling or require extensive setups. In the commercial systems a common method for SoC estimation is based on the Open Circuit Voltage (OCV) measurememnts, yet, the method introduces a significant error for the SoC estimation and is normally used to avoid the critical operating states.
Based on the importance of SoC and SoH parameters, and an already common application of OCV measurements in VRFB, there is a way to measure those parameters with an application of RI is proposed. Combination of OCV and RI measurements is used to predict SoH of the electrolyte with a RMSE 1.83% at OCV = 1.4 V;
Additionally, a hybrid nanophotonic-microfluidic sensor integrated with machine learning was used for SoC estimation. RI - related parameter was measured at different wavelengths. The most important wavelengths to monitor were chosen based on the growth of prediction accuracy. The final proposed model demonstrated the lowest RMSE of 5%.
Based on the experimental validation, it is possible to conlcude that this research have broadened the RI-related research to practically significant longterm results.
Speaker
Valentin Igorevich Vlasov
Skoltech
Russia
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