In this thesis, we studied the open-circuit voltage (OCV), which is one of the key parameters for determining the state of charge of lithium-ion batteries. The OCV curve is defined as the difference between the voltage potentials of the anode and cathode. We developed a program that enables the decomposition of OCV curves into open-circuit potentials (OCP) of individual electrodes and determines the chemical composition of the battery. We digitized OCV and OCP curves obtained from the LiionDB library, scientific articles, and our own laboratory measurements. The program combines digitized OCP curves and optimizes the decomposition of the OCV curve by minimizing the root mean square deviation (RMSD). The optimization function for the decomposition of OCV curves was successfully tested on various types of lithium-ion batteries, confirming its reliability and accuracy in decomposing OCV and determining electrode materials with low error. The entire project is published on GitHub, allowing for further improvements and application of the program in research and industrial applications.
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