For citation:
Kolosnitsyn D. V., Kuzmina E. V., Karaseva E. V. Automation of Data Processing of Electrochemical Studies of Battery Cells. Electrochemical Energetics, 2019, vol. 19, iss. 4, pp. 186-197. DOI: 10.18500/1608-4039-2019-19-4-186-197, EDN: DYOJFK
Automation of Data Processing of Electrochemical Studies of Battery Cells
The paper considers the problem of increasing the information content of studies of electrochemical battery cells due to in-depth processing of the obtained experimental data. The necessity of developing software with a wider functionality compared to the standard software of battery testers and allowing the processing of experimental data obtained from different types of battery testers in a single interface is substantiated. The article describes the features of an experiment on cycling of electrochemical battery cells, the main parameters characterizing electrochemical battery cells – capacity, energy, charge and energy state, polarization resistance, self-discharge current. Algorithms for calculating and averaging parameters calculated in the program and used in the program data structures are presented.
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