İyonik sıvı elektrolitlerin lityum-kükürt batarya performansı üzerindeki etkisininmodellenmesi

The lithium-sulfur (Li-S) battery is a promising future technology as an energy storage system due to its cost-effectiveness, high theoretical capacity, and energy density. However, fully understanding the complex electrochemical mechanisms remains a significant challenge for further advancement and commercial feasibility. Design parameters of Li-S cells, especially the ones regarding the electrolyte, can significantly impact their performance. In this thesis, a zero-dimensional electrochemical model is established to highlight the impact of electrolyte design parameters. The (Yan, Yin, Guo, & Wan, 2014) (Yan, Yin, Guo, & Wan, 2014) the active reaction area, initial voltage, shuttle and precipitation constants, standard potentials, exchange current densities, C-rate, and the electrolyte-to-sulfur (E/S) ratio is investigated. Simulations were performed using Fortran programming language to illustrate discharge and charge profiles. The impact of the E/S ratio on the discharge and charge profiles is investigated by altering the electrolyte volume in the cell in the model. An increase in the discharge capacity is expected with an increase in the E/S ratio. However, the model is unable to predict this trend. In addition, a sensitivity analysis was performed to see the dependence of the results on the selected model parameters regarding electrolyte design; this way, the impact of ionic liquid electrolyte design on the performance can be captured implicitly. An increase in the exchange current densities causes almost no change in the cell voltage and capacity for all three stages of redox reactions in the model. The changes in discharge and charge profiles are also negligible in terms of the changes in active reaction area and initial voltage parameters. Nevertheless, the influence of the shuttle constant on cell performance is significant; the capacity decreases significantly with increasing the shuttle constant. The model cannot reflect the effect of C-rate as mass transfer is neglected in a zero-dimensional model. In conclusion, a zero-dimensional model is utilized to investigate the impact of electrolyte design parameters through sensitivity analysis. It is successful in predicting the influence of certain parameters. The effect of the electrolyte quantity on battery performance is not observable in the suggested model.