An alternative approach for extracting meaningful parameters from the data is to directly fit physics-based mathematical models of the electrochemical systems. In fact, many decades of electrochemical modeling research have laid the groundwork for the physics-based modeling of impedance in a wide variety of fields including corrosion,3 hydrodynamic systems,4 fuel cells,5 and lithium ion batteries.6However, despite the important role and wide acceptance of these physics-based models, their impact in experimental impedance analysis has been limited by their complexity – these models often contain many coupled partial differential equations representing the different physicochemical processes.
Here we present an open-source, web-based tool for the in-depth analysis of experimental EIS spectra. We show that building a large database of simulated spectra across a wide range of parameters enables deeper insight into the electrochemical system under study. As a demonstration, we present an analysis of experimental lithium ion battery data using the widely utilized pseudo 2-dimensional (P2D) battery model.
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5. J. R. Wilson, D. T. Schwartz, and S. B. Adler, Electrochimica Acta, 51, 1389–1402 (2006).