Online EIS Data Analysis
The tool identifies the parameters of the equivalent circuit model of the cell/stack that fits the experimental Electrochemical Impedance Spectrum (EIS) data. The algorithm features the automatic selection of the equivalent circuit model structure for fuel cells or electrolyzers and guarantees the uniqueness of the value identified for each parameter.
Upload a CSV file or enter the data manually. CSV must contain 3 columns: frequency, real part, and imaginary part.
The algorithm was developed and patented by the University of Salerno (UNISA) before the project RUBY. It has been exploited for the identification of the EIS model parameters within the RUBY Monitoring Diagnostic Prognostic Control tool https://www.rubyproject.eu/objectives/ . The patented algorithm is owned by the University of Salerno and is licensed to MinervaS S.r.l. Its use is subject to intellectual property laws and license terms. Unauthorized use is strictly prohibited.The use, disclosure, and exploitation of any results generated through this tool are subject to prior written agreement with MinervaS S.r.l. No rights are granted or implied without such authorization. For any clarification or related inquiries, please contact tech@minervas.it .
