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


математические методы

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.