This software is dedicated to electrochemical data analysis. Cycling experiments are often used to follow the evolution of the capacity of a given cell under certain conditions. Electrochemical data may contain though further information about the cell, which can be obtained via deeper analysis techniques. Two of them are the Incremental Capacity Analysis (ICA or dQ/dV x V) and the Differential Voltage Analysis (DVA or dV/dQ x Q). Through them one can check in more details the traits of the Potential x Capacity curve during constant current steps. This program offers the user the possibility of obtaining the ICA and DVA curves of cycling data without data treatment. It also offers the possibility of fitting the linear contributions of the DVA data from positive and negative half cells to the data of their respective full cell, through the slippage and active material mass variables. This is an alpha version of the software.
version = 1.2.0
We recommand users to download the executables with the link below:
article : ML. de Souza, M. Duquesnoy, M. Morcrette, A. A. Franco. Electrochemistry Visualization Tool to Support the Electrochemical Analysis of Batteries. Batteries & Supercaps, 2022. 10.1002/batt.202200378
The software is available under Linux and Windows distributions. You can download the executable or the package respectively for Windows or Linux to install the dependencies on your own computer. Please note that this software is only available for Windows version up to 10.
- For windows, download the executable on your computer and launch it.
- For linux, download the package and launch the following command line in the same folder with sudo rights :
sudo dpkg -i ElectrochemistryVisualizationApplication.deb- Marc Duquesnoy (@MarcDuquesnoy), marc.duquesnoy@u-picardie.fr
- Matheus Leal De Souza , matheus.leal.de.souza@u-picardie.fr
- Mathieu Morcrette, mathieu.morcrette@u-picardie.fr
- Alejandro A. Franco, alejandro.franco@u-picardie.fr
This project was developed in collaboration with the prototyping unit from the LRCS (Amiens, FRANCE).
- This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 772873 (ARTISTIC project).
- This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 957189 (BIG MAP project). The project is part of BATTERY 2030+, the large-scale European research initiative for inventing the sustainable batteries of the future.
This repository is under the CC BY-NC-SA 4.0 licence.