Molecule Design for Non‐Aqueous Wide‐Temperature Electrolytes via the Intelligentized Screening Method

水溶液 分子 化学 电解质 组合化学 材料科学 有机化学 物理化学 电极
作者
Tian Qin,Haoyi Yang,Lei Wang,Weiran Xue,Nan Yao,Quan Li,Xiang Chen,Xiukang Yang,Xiqian Yu,Qiang Zhang,Hong Li
出处
期刊:Angewandte Chemie [Wiley]
卷期号:136 (37) 被引量:2
标识
DOI:10.1002/ange.202408902
摘要

Abstract Operating a lithium‐ion battery (LIB) in a wide temperature range is essential for ensuring a stable electricity supply amidst fluctuating temperatures caused by climate or terrain changes. Electrolyte plays a pivotal role in determining the temperature durability of batteries. However, specialized electrolytes designed for either low or high temperatures typically possess distinct features. Therefore, wide‐temperature electrolytes (WTEs) are necessary as they encompass a combination of diverse properties, which complicates the clear instruction of WTE design. Here we represent an artificial intelligence (Al)‐assisted workflow of WTE design through stepwise parameterizations and calculations. Linear mono‐nitriles are identified as ideal wide‐liquidus‐range solvents that can “softly” solvate lithium ions by weak interactions. In addition, the explainable modules revealed the halogenoid similarity of cyanide as fluorine on the electrolyte properties (e.g. boiling point and dielectric constant). With the further introduction of an ether bond, 3‐methoxypropionitrile (MPN) has been eventually determined as a main electrolyte solvent, enabling the battery operation from −60 to 120 °C. Particularly, a LiCoO 2 /Li cell using the proposed WTE can realize stable cycling with capacity retention reaching 72.3 % after 50 cycles under a high temperature of 100 °C.
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