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


lithium-ion battery

Comparison of traditional organic solvents with phosphoric acid esters in lithium-ion and supercapacitor technologies

This work is dedicated to phosphoric acid esters working as solvents for lithium-ion and supercapacitor (SC) electrolyte. The electrical conductivity of electrolytes based on phosphoric acid esters, lithium salts, commonly used in lithium-ion batteries (LIB), and salts used in SC technology was measured. The thermodynamic stability of new electrolytes in comparison with other solvents used in chemical power sources technology was also estimated. It was shown that the thermodynamic stability of phosphoric acid ester increases in a homologous series.

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.

Peculiarities of Obtaining and Electrochemical Properties of Lithium-Ion Battery Cathode Materials Based on Iron(II)-Lithium Orthosilicate

Various strategies for the synthesis of promising electrode materials for lithium-ion battery (LIB) based on iron(II)-lithium orthosilicate (Li2FeSiO4) using widely distributed, environmentally friendly and inexpensive starting materials are considered. The materials obtained are multicomponent electroactive composites that include, in addition to the main lithium accumulating component, also auxiliary structure-forming and electrically conductive components based on the products of the pyrolytic decomposition of organic compounds.

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%.

High-voltage Cathode Material Based on LiCoVO? for Lithium-Ion Battery: Development and Research

This paper discusses the prospects for developing a cathode material based on the cobalt(II)-lithium vanadate(V) (LiCoVO4) for a lithium-ion battery, an approach to its preparation and features of the electrochemical behavior.

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