4.6 Article

Methods-Analyzing Electrochemical Kinetic Parameters in Deep Eutectic Solvents Using an Extended Butler-Volmer Equation

期刊

出版社

ELECTROCHEMICAL SOC INC
DOI: 10.1149/1945-7111/ac006a

关键词

Deep Eutectic Solvents; Electrode Kinetics; Tafel Equation; Extended Butler-Volmer Equation

资金

  1. Breakthrough Electrolytes for Energy Storage (BEES), an Energy Frontier Research Center - U.S. Department of Energy, Office of Science, Basic Energy Sciences [DE-SC0019409]
  2. U.S. Department of Energy, Office of Electricity, Pacific Northwest National Laboratory [434111]

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The study found issues with traditional Tafel analysis in high-viscosity electrolytes, leading to a proposed extended Butler-Volmer analysis based on modern non-linear fitting techniques for obtaining actual kinetic parameters.
Deep eutectic solvents (DESs) are promising electrolytes for electrochemical redox reactions, which can be used in redox flow batteries (RFBs). However, in some systems like the Fe2+/3+ redox reaction in ethaline, traditional Tafel-based kinetic analysis generates unreasonable kinetic parameters (i.e., large anodic/cathodic charge transfer coefficients (alpha (a), alpha (c)) along with low exchange current densities (i (0))). This hinders a comprehensive kinetic and kinetic mechanism study. Here, we perform a detailed investigation of the Tafel analysis using a series of synthetic rotating disk electrode (RDE) data. We find the Tafel analysis only works well when i (0) < 0.57 i (lim) (limiting current density) in our scenario and leads to abnormal kinetic values once i (0) exceeds this limiting value. Thus, we propose an extended Butler-Volmer (ex-BV) analysis based on modern non-linear fitting techniques to obtain the actual kinetic parameters for such systems. The results show that this method fits the RDE data closely and generates reliable alpha (a), alpha (c) and i (0) values, demonstrating that it is a good replacement for traditional Tafel analysis for kinetic studies in high-viscosity electrolytes such as DES systems.

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