ISSN 1608-4039 (Print)
ISSN 1680-9505 (Online)


For citation:

Kolosnitsyn D. V., Kuz'mina E. V., Karaseva E. V. Automation of Data Processing of Electrochemical Studies of Battery Cells. Electrochemical Energetics, 2019, vol. 19, iss. 4, pp. 186-?. DOI: 10.18500/1608-4039-2019-19-4-186-197, EDN: DYOJFK

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
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Language: 
Russian
Article type: 
Article
EDN: 
DYOJFK

Automation of Data Processing of Electrochemical Studies of Battery Cells

Autors: 
Kolosnitsyn Dmitry Vladimirovich, Ufa Institute of Chemistry of the Russian Academy of Sciences
Kuz'mina Elena Vladimirovna, Institute of Organic Chemistry of the Ufa RAS Scientific Center
Karaseva Elena Vladimirovna, Institute of Organic Chemistry of the Ufa RAS Scientific Center
Abstract: 

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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Received: 
30.09.2019
Accepted: 
14.11.2019
Published: 
23.12.2019