This paper proposes an improved dynamic model of lithium iron phosphate battery, and shows the simulation results. The method takes into account the nonlinear characteristics of the battery charging and discharging, and changes the variation of battery resistance into that of voltage, which makes the simulation circuit simpler and easier to be implemented. Simulations examine the time-changing characteristics of the state of charge (SOC), depth of discharge and the current/voltage in the charge/discharge processes, as well as the relationship between voltage and SOC. The model has correctively shown the dynamic characteristics of lithium iron phosphate battery in our simulations.
This project focuses on the fibrillation of cellulose nano fiber (CNF) derived from spent tea leave (STL) and the characterization of the extracted fibers. The new extraction technique was aiming to realize the synergistic effects of chemical treatment and mechanical fibrillation process parameters (blending speed and time) for yielding of CNF from STL. STL underwent chemical (NaOH and HCL) pretreatment to degrade the intermolecular bonding between cellulose, hemicellulose and lignin followed by fibrillation at various blending speed and time to isolate the CNF contents mechanically. Vacuum filtering was utilized to filter the fibrillated fibers. The fibrillation effects on the extracted fibers were characterized and analysed by using FTIR, optical and scanning electron microscope. The results indicated that the average diameter of fibrillated fibers were decreased with the concurrent increase of blending speed and time. It was found that blending time and speed in mechanical fibrillation have substantial effect on yielding of nanofibers. Fine STL fibers blended at speed and time of 23500 rpm and 10 min provide the smallest CNF diameter (within the range of 20 to 40 nm) along with better fibrillated yield of 15.22% than coarse STL fiber.
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