Jeschke Steffen, Johansson Patrik
Department of Physics, Chalmers University of Technology, 412 96, Gothenburg, Sweden.
Chemistry. 2017 Jul 6;23(38):9130-9136. doi: 10.1002/chem.201701011. Epub 2017 Jun 19.
Lithium-sulfur (Li-S) batteries are, in theory, considering their basic reactions, very promising from a specific energy density point of view, but have poor power rate capabilities. The dissolution of sulfur from the C/S cathode in the electrolyte is a rate-determining and crucial step for the functionality. To date, time-consuming experimental methods, such as HPLC/UV, have been used to quantify the corresponding solubilities. Here, we use a computational fluid-phase thermodynamics approach, the conductor-like screening model for real solvents (COSMO-RS), to compute the solubilities of sulfur in different binary and ternary electrolytes. By using both explicit and implicit solvation approaches for lithium bistrifluoromethanesulfonimidate (LiTFSI)-containing electrolytes, a deviation of <0.4 log units was achieved with respect to experimental data, within the range of experimental error, thus proving COSMO-RS to be a useful tool for exploring novel Li-S battery electrolytes.
从理论上讲,考虑到锂硫(Li-S)电池的基本反应,从比能量密度的角度来看,它们非常有前景,但功率倍率性能较差。硫从C/S阴极溶解到电解质中是决定反应速率的关键步骤,对电池功能至关重要。迄今为止,人们一直使用耗时的实验方法,如高效液相色谱/紫外光谱法(HPLC/UV)来量化相应的溶解度。在此,我们使用一种计算流体相热力学方法——真实溶剂的导体类筛选模型(COSMO-RS),来计算硫在不同二元和三元电解质中的溶解度。通过对含双(三氟甲基磺酰)亚胺锂(LiTFSI)的电解质同时使用显式和隐式溶剂化方法,在实验误差范围内,相对于实验数据实现了<0.4对数单位的偏差,从而证明COSMO-RS是探索新型锂硫电池电解质的有用工具。