离子电导率
离子键合
电解质
锂(药物)
扩散
化学物理
离子
聚合物
离子液体
材料科学
环氧乙烷
分子动力学
化学
热力学
物理化学
计算化学
有机化学
复合材料
催化作用
内分泌学
物理
医学
电极
共聚物
作者
Boris V. Merinov,Daniel J. Brooks,William A. Goddard
出处
期刊:Meeting abstracts
[Institute of Physics]
日期:2018-07-23
卷期号:MA2018-02 (6): 467-467
被引量:1
标识
DOI:10.1149/ma2018-02/6/467
摘要
Polymer electrolytes are promising materials for development of the next generation of energy storage devices, including lithium-ion polymer batteries, due to their exceptional chemical and mechanical stability, high energy density and long lifetimes. Understanding the ionic diffusion mechanism in polymer electrolytes is critical to the development of advanced lithium-ion batteries. A molecular dynamics-based characterization of structures and diffusion in poly(ethylene oxide) (PEO) with lithium and bis(trifluoromethy-sulfonyl-imide) (TFSI) ions imbedded into the PEO structure have been performed across a range of temperatures, molecular weights and ion concentrations, with relative ionic diffusion coefficients shown to be in good agreement with experimental measurements. To determine details of the atomistic diffusion mechanism, the chain coordination of Li atoms, polymer motion, and temperature dependences of the intrachain and interchain diffusion contributions into the total ionic diffusion coefficients on ionic concentration and molecular weight were analyzed. We find that the most diffusive Li atoms exhibit frequent interchain hopping, whereas the least diffusive Li atoms rather oscillate or “shift” coordination between two or more polymer chains. These shifts may actually reduce the segmental motion of the PEO-LiTFSI polymer, which is important for the fast lithium-ion diffusion. Good agreement between experiment and theory validates the approach and methodology used in this study and its further applications for predicting the structure and ionic conductivity of new advanced polymer materials for a new generation of electrochemical devices. Acknowledgement This work was supported by Bosch Energy Research Network Grant No. 13.01.CC11.
科研通智能强力驱动
Strongly Powered by AbleSci AI