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
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.
1. Rubenbauera H., Henningerb S. Definitions and reference values for battery systems in electrical power grids. Journal of Energy Storage, 2017, vol. 12, pp. 87–107. DOI: https://doi.org/10.1016/ j.est.2017.04.004
2. Schaltz E. Electrical Vehicle Design and Modeling. In: S. Soylu (Ed.). Electric Vehicles – Modelling and Simulations (1st ed). Croatia, INTECH, 2011, pp. 1–24.
3. Jokar A., Rajabloo B., Desilets M., Lacroix M. An Inverse Method for Estimating the Electrochemical Parameters of Lithium-Ion Batteries I. Methodology. Journal of the Electrochemical Society, 2016, vol. 163, pp. A2876–A2886. DOI: https://doi.org/10.1149/2.0191614jes
4. BioLogic. Potentiostat/galvanostat/EIS. Site. Available at: https://www.bio-logic.net/products/potentiostat-galvanostat-eis/?filter[division]=ec-lab (accessed 02 February 2019).
5. Maccor. Battery&cell test Equipment. Site. Available at: http://www.maccor.com/Products/LabEquipment.aspx (accessed 02 February 2019).
6. Arbin Instruments. Site. Available at: (accessed 02 February 2019).
7. BioLogic. EC-Lab software. Site. Available at: https://www.bio-logic.net/softwares/ec-lab-software/?filter[division]=ec-lab (accessed 02 February 2019).
8. BioLogic. Potentiostat/galvanostat/EIS. Site. Available at: https://www.bio-logic.net/products/potentiostat-galvanostat-eis/?filter[division]=ec-lab (accessed 02 February 2019).
9. Marine energy – Wave, tidal and other water current converters. Part 1 : Terminology. ISO/IEC, 62600-1:2011. Technical Specification. Ed. 1. 2011-12-07. Geneva, Switzerland, International Organization for Standardization, 2011. 26 p. Available at: https://www/ies.ch
10. Fedorov A., Sarapov S. The Internal Resistance of the Chemical Current (Power) Sources and its measurement. Komponenty I tehnologii, 2005, no. 3, pp. 230–232 (in Russian).
11. Delphi – Embarcadero. Website. Available at: https://www.embarcadero.com/ru/products/delphi (accessed 02 February 2019).
12. Mochalov S. E., Antipin A. V., Nurgaliev A. R., Kolosnitsyn V. S. 2015. Multichannel potentiostat-galvanostat for battery and electrochemical cells cycling. Electrochemical Energetics, vol. 15. no. 1, pp. 45–50 (in Russian).
13. Program for computer “ElChemLab, Data Analyzer”, certificate 2019611773 RF. D. V. Kolosnitsyn. Owner Ufa Federal Research Centre of the Russian Academy of Sciences (RU). Published 04 February 2019. 1 p.