IR Spectroscopy as a Method for Online Electrolyte State Assessment in RFBs

GND
1306480280
Affiliation
Friedrich Schiller University Jena
Nolte, Oliver;
GND
1139851470
Affiliation
Friedrich Schiller University Jena
Geitner, Robert;
GND
134002695
Affiliation
Friedrich Schiller University Jena
Hager, Martin D.;
GND
113792077
ORCID
0000-0003-4978-4670
Affiliation
Friedrich Schiller University Jena
Schubert, Ulrich S.

Abstract The transition from fossil to renewable energy sources requires adequate storage technologies due to the intermittency of the supplied energy. With respect to this, organic redox‐flow batteries (ORFBs) represent a promising concept for the storage of electricity on a large scale at economically justifiable costs. However, these storage technologies can only be operated reliably if parameters representing the actual condition of the storage medium (i.e., the electrolyte) can be accurately assessed. These so‐called electrolyte state variables are represented by two key figures of merit: state of charge (SOC), a measure of the amount of charge that the electrolyte currently holds; and state of health (SOH), representing the amount of charge that the electrolyte is able to store given its current condition. The herein presented IR‐based approach is able to simultaneously provide reliable, fast, accurate, and precise estimates for both SOC and SOH parameters at any point in time and independent of the current battery status. The method is able to provide a time resolution in the range of minutes, is independent of the electrolyte temperature and can be applied to nearly all organic‐based redox‐active materials and solvents, while potentially being applicable to inorganic RFBs, such as vanadium‐based systems, as well.

Redox‐flow batteries (RFBs) provide a unique and scalable storage solution for green energy. However, they can only be operated safely when parameters representing the battery state are precisely known at any point in time. The presented IR‐spectroscopic method is able to generate accurate and precise estimates for the crucial State‐of‐Charge and State‐of‐Health variables of RFB electrolytes. image

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