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EN
With the increasing demand for efficient and economic energy storage, tin disulfide (SnS2), as one of the most attractive anode candidates for the next generation high-energy rechargeable Li-ion battery, have been paid more and more attention because of its high theoretical energy density and cost effectiveness. In this study, a new, simple and effective process, mechanical alloying (MA), has been developed for preparing fine anode material tin disulfides, in which ammonium chloride (AC), referred to as process control agents (PCAs), were used to prevent excessive cold-welding and accelerate the synthesis rates to some extent. Meanwhile, in order to decrease the mean size of SnS2 powder particles and improve the contact areas between the active materials, wet milling process was also conducted with normal hexane (NH) as a solvent PCA. The prepared powders were both characterized by X-ray diffraction, Field emission-scanning electron microscopeand particle size analyzer. Finally, electrochemical measurements for Li/SnS2 cells were takenat room temperature, using a two-electrode cell assembled in an argon-filled glove box and the electrolyte of 1M LiPF6 in a mixture of ethylene carbonate(EC)/dimethylcarbonate (DMC)/ethylene methyl carbonate (EMC) (volume ratio of 1:1:1).
EN
The mathematical model, algorithm and computational program of the system: battery – pulse converter – permanent magnet commutator motor were developed. The program was developed in Matlab – Simulink environment. Calculations of transients of electrical and mechanical quantities during dynamic and steady states and electromechanical characteristics of the motor were carried out. Analysis of load torque, ambient temperature and battery capacity influence on transients of electrical and mechanical quantities in the system were carried out. Circuit-field method was applied. Quantities determined using finite element method (with the help of commercial software) are used as the parameters of the mathematical model equations which define: the electromotive force, the electromagnetic torque and the iron losses. The mathematical model, algorithm and computational program take into consideration: the dependence of the instantaneous values of battery voltage and its internal resistance on the values of the current, temperature and charge ratio; the dependence of the instantaneous values of magnetic flux and electromagnetic torque on the values of the current, temperature and rotor position; the dependence of the motor and converter power losses on the instantaneous values of the current and the pulse-frequency modulation of the converter.
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