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Computational electrochemistry of Pillar[5]quinone cathode material for lithium-ion batteries

机译:支柱的计算电化学[5]锂离子电池的醌正极材料

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摘要

Multi-carbonyl macrocyclic compounds have recently attracted much attention due to their high performance relative to some short chain carbonyl compounds as the cathode active constituents for lithium ion batteries (LIBs). However, little is known about the evolution mechanism of their electrochemical properties during charging and discharging processes. In this paper, the application of density functional calculations at the MO6-2X/6-31G(d,p) level of theory is presented to study systematically the electrochemical properties of pillar[5]quinone (P5Q) as a cathode active material for LIBs. The optimized structures of P5Q accepting different number of electrons and binding different number of lithium atoms are obtained, respectively. The geometry structure, thermodynamics property, electronic structural property, solvent effect and redox potential are discussed in detail. The uneven-distribution of extra electrons in several P5Q(n-) anions can minimize the repulsive interactions as far as possible. The macrocyclic skeletons in P5QLi(n) structures are distorted to different extents by the binding interactions between Li atoms and P5Q More than eight intercalated lithium atoms into per P5Q molecule are confirmed in this work, indicating a high utilization ratio of carbonyl groups of P5Q as a cathode material. Compared with pillar [4]quinone and pillar[6]quinone, P5Q is predicted to have better cycling performance due to its higher structural stability. (C) 2017 Elsevier B.V. All rights reserved.
机译:多羰基宏环化合物最近引起了很多关注,因为它们的高性能相对于一些短链羰基化合物作为锂离子电池(Libs)的阴极活性成分。然而,在充电和放电过程中,关于其电化学性质的进化机制很少。在本文中,提出了在Mo6-2X / 6-31G(D,P)的理论水平上的密度官能计算的应用,以系统地研究柱[5]醌(P5Q)作为阴极活性材料的电化学性质libs。分别获得接受不同数量的电子和结合不同数量的锂原子的P5Q的优化结构。详细讨论了几何结构,热力学性能,电子结构特性,溶剂效应和氧化还原电位。几个P5Q(N-)阴离子中额外电子的不均匀分布可以尽可能使排斥相互作用最小化。 P5Qli(n)结构中的大环骨架在该工作中确认P5Q分子的锂原子和P5Q之间的结合相互作用变形为锂原子和P5Q中的结合相互作用,表明P5Q的羰基的高利用率为阴极材料。与柱子[4]奎松和柱子[6]醌,预计P5Q由于其结构稳定性较高而具有更好的循环性能。 (c)2017 Elsevier B.v.保留所有权利。

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