Welcome to ec-idea!
ec-idea is a tool for ElectroChemical ImpeDancE Analysis of frequency-domain impedance data.
Its main features are:
- Kramers-Kronigs validy test for the verification of the measured impedance. Bad signal-to-noise-ratio, electromagnetic coupling, non-linearity or time variance of the specimen can be revealed to improve test setup and measurement procedure.
- EC-fit: The impedance spectrum can be fitted to an individual equivalent circuit to obtain characteristic parameters, e.g. capacities & resistances. A wide variety of elements including ZARC, CPE and Warburg are available.
- Distribution of relaxation times (DRT) as a model-free characterization tool for the analysis of impedance data. The DRT can be calculated with a free choice of user-determined parameters to optimize the outcome and the meaningfulness of the distribution function. Inductive & diffusive branches which are not part of the DRT can be separated by the EC fit or via our novel, entirely model-free pre-processing routine.
ec-idea is based on MATLAB® Runtime (which is available for free during installation of ec-idea) and can also be used within an existing installation of MATLAB® 2017b or later.
We are currently working on the first release version of ec-idea and the license agreement for free, non-commercial use. You can already register following the link below to be informed as soon as we can provide ec-idea!
Publications on the subject
Hahn, Markus; Rosenbach, Dominic; Krimalowski, Alexander; Nazarenus, Tobias; Moos, Ralf; Thelakkat, Mukundan; Danzer, Michael A. (2020): Investigating solid polymer and ceramic electrolytes for lithium-ion batteries by means of an extended Distribution of Relaxation Times analysis. In: Electrochimica Acta, S. 136060. DOI: 10.1016/j.electacta.2020.136060.
Danzer, Michael A. (2019): Generalized Distribution of Relaxation Times Analysis for the Characterization of Impedance Spectra. In: Batteries 5 (3), S. 53. DOI: 10.3390/batteries5030053.
Hahn, Markus; Schindler, Stefan; Triebs, Lisa-Charlotte; Danzer, Michael A. (2019): Optimized Process Parameters for a Reproducible Distribution of Relaxation Times Analysis of Electrochemical Systems. In: Batteries 5 (2), S. 43. DOI: 10.3390/batteries5020043.