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


литиевый аккумулятор

Modification of carbon materials for the lithium battery negative electrode with pyrolysis products of 3d metal-ethanolamine complexes

It was found that polynuclear complexes NiX2·2(fac-Co(Etm)3).], [NiX2·2[Co(Dctm)2] [NiX2·2[Co(HTetm)2], where Etm, Detm, Tetm are deprotonated molecules of mono- (NH2C2H4O) di- (NH(C2H4O)2) and tri-ethanolamine (N(C2H4O)3), after being inoculated onto the surface of graphite with subsequent pyrolysis in the inert atmosphere, become catalysts toward the reaction of Li intercalation into the graphite, thus imp

Materials of negative electrodes for rechargeable lithium batteries with aprotic organic electrolytes

Review of literature for 30 years on negative electrode materials (Li, Li, Me, Li, Cr) for rechargeable lithium batteries is presented. Problems of formation of surface passivating layers as well as electrodes activation techniques are considered. Interconnection and interdependence of kinetic characteristics and structural transformations in processes of lithium intercalation (extraction) to different materials are analyzed.

Modeling of Characteristics of Lithium-Sulfur Batteries Based on Experimental Evaluation of Electrochemical Properties of Electrode Materials

To model the characteristics of lithium-sulfur batteries based on the experimental evaluation of the electrochemical properties of electrode materials, the software "Battery Designer", included in the software package “ElChemLab”, was developed. The possibilities of software are described. The specific energy of lithium-sulfur batteries is compared for different surface capacitances of a positive electrode and for different amounts of electrolyte.

Simulation and estimation of lithium-sulfur battery charge state using fuzzy neural network

The possibility of determining the charge state of lithium-sulfur batteries using the ANFIS model was estimated. Easily measurable in practice physical quantities were used as input parameters of the model. They are the battery voltage, the rate of its change and the number of previous cycles. The analysis of ANFIS models with various parameters (the number and type of membership functions) was carried out. It was shown that ANFIS is a model that makes it possible to estimate the charge state of a lithium-sulfur battery with the accuracy of more than 95%.