电解质
电化学
溶剂化
电池(电)
化学
溶剂
二聚体
四氢呋喃
协调数
无机化学
配位复合体
化学工程
离子
电极
热力学
物理化学
有机化学
物理
工程类
金属
功率(物理)
作者
Zhenzhen Yang,Lihong Gao,Noel J. Leon,Chen Liao,Brian J. Ingram,Lynn Trahey
标识
DOI:10.1021/acsaem.3c03261
摘要
The rise of magnesium batteries as promising post-Li-ion energy storage technologies has sparked considerable attention toward understanding the fundamental aspects of coordination chemistry concerning Mg cations in multivalent electrolytes. This exploration includes investigating how coordination influences crucial electrolyte properties like solubility, electroreduction stability, and the formation of the interphase, all of which are pivotal for practical battery applications. Despite recent progress in developing a few functional electrolytes, a comprehensive understanding of the solvation structure that can facilitate efficient Mg deposition performance and the formulation of general design rules based on the solvation structure is still lacking. In our study, we endeavor to establish a connection between solvent and anion interactions with Mg2+, interface formation, and cycling performance through a series of organic ether solvents (tetrahydrofuran, glyme, diglyme, and triglyme) and amine solvents (dimethylamine, 3-methoxypropylamine, and dimethoxyethylamine). Our findings reveal a distinct coordination trend for solvent/Mg2+ and (Mg-TFSI):solvent across various solvents, which dictates the extent of ion pairing for TFSI salts with increasing solvent molecule size and denticity. The solvated species in the bulk electrolyte across different solvents lead to diverse interfacial chemistries with varying decomposition components. We also explore the cycling efficiency as well as Mg deposition overpotentials for different solvents. A correlation analysis was conducted to assess the interplay between the structure and performance. Lastly, we apply the insights gained from these results to tailor the relative anion/Mg2+ coordination structures using cosolvent systems, aiming for improved cell performance.
科研通智能强力驱动
Strongly Powered by AbleSci AI