Литиевые электрохимические системы

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.

For the purpose of creation of a reliable current conductor for fluorocarbon-lithium cell with use of the fast-tempered materials the corrosion and electrochemical behavior of microcrystalline AV-86 alloy and also amorphous Ni₈₁P₁₉ and Fe₇₀Cr₁₀P₁₃C₇ alloys in electrolytes on a basis ?-butyrolactone (GBL) is studied. The high corrosion resistance and conductivity of amorphous materials do perspective their use as current conductor of current sources.

Degradation of Na₂Ti₃O₇-based electrodes is studied by galvanostatic as well as electrochemical impedance spectroscopy methods. The rate of degradation was shown to decrease from cycle to cycle as the cycling progresses and also as the cycling current increases. It was concluded that the main reason of degradation is the gradual an electrolyte reduction with the formation of insoluble products (SEI).

Within the work, an influence of manganese dopant on electrochemical performance of anatase titanium dioxide (Mn/Ti = 0.05; 0.1; 0.2) had been investigated. It was established that incorporation of Mn³⁺ into the TiO₂ lattice results in the formation of Ti_{1 ? x}Mn_xO₂ solid solution and increased anatase unit cell volume from 136.41 A³ (undoped sample) to 137.25 A³ (Mn/Ti = 0.05). The conductivity of doped TiO₂ rises up to two orders in magnitude.

The study relates to the general problem of noise research in electrochemistry. The special issue of recognition of a weak signal against the background of equipment noise was considered . Chemical power sources were used as an object. The measurement results were analyzed using a standard model including the noise voltage and noise current of the equipment. The criterion of correctness of the model was compliance with the quadratic law of addition of components of a random noise signal.

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 use of aqueous electrolyte in lithium-ion energy storage systems can choose some of the problems associated with the use of electrolytes based on organic solvents, such as a risk of ignition of an abnormal violation of tightness and the sensitivity of operational parameters to production conditions. As part of the development of one of these systems, LiTi₂(PO₄)₃ | aqueous Li₂SO₄ (1 mol?l ^?

Nanotubes of bronze titanium dioxide (TiO₂(B)) doped with vanadium were synthesized through hydrothermal reaction. The obtained material possesses mesoporous structure and large specific surface area of 180 m²/g. It was found that the incorporation of vanadium into TiO₂(B) lattice increases the volume of a unit cell. Additionally, the conductivity rose up to three orders of magnitude for doped titanium dioxide reaching the value of 1.70 ? 10 ^{? 8} S/cm.

The effect of ultrasound on the electrodeposition of lead dioxide from lead (II) nitrate on a nickel substrate was studied. It was shown that the highest electrochemical characteristics are observed for the prototypes of backup power sources based on the Pb/HClO₄/PbO₂ system, in which lead dioxide obtained by electrodeposition under the influence of an ultrasonic field on a nickel substrate was used.

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%.