Origin of enhanced electrochemical performance in lithium-rich cathode materials via the fast ion conductor Li2O-B2O3-LiBr

IF 4.1 2区 材料科学 Q2 ENGINEERING, CHEMICAL Particuology Pub Date : 2024-08-30 DOI:10.1016/j.partic.2024.08.008
Yang You, Hanhui Liu, Mingliang Yuan
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Abstract

Lithium-rich cathode materials have garnered significant attention in the energy sector due to their high specific capacity. However, severe capacity degradation impedes their large-scale application. The employment of fast ion conductors for coating has shown potential in improving their electrochemical performance, yet the structural and chemical mechanisms underlying this improvement remain unclear. In this study, we systematically analyze, through first-principles calculations, the mechanism by which Li2O-B2O3-LiBr (Hereafter referred to as LBB) coating enhances the electrochemical performance of the lithium-rich layered cathode material 0.5Li2MnO3·0.5LiNi1/3Co1/3Mn1/3O2 (Hereafter referred to as OLO). Our calculations reveal that the LBB coating introduces a more negative valence charge (average −0.14 e) around the oxygen atoms surrounding transition metals, thereby strengthening metal-oxygen interactions. This interaction mitigates irreversible oxygen oxidation caused by anionic redox reactions under high voltages, reducing irreversible structural changes during battery operation. Furthermore, while the migration barrier for Li+ in OLO is 0.61 eV, the LBB coating acts as a rapid conduit during the Li+ deintercalation process, reducing the migration barrier to 0.32 eV and slightly lowering the internal migration barrier within OLO to 0.43 eV. Calculations of binding energies to electrolyte byproducts HF before and after coating (at −7.421 and −3.253 eV, respectively) demonstrate that the LBB coating effectively resists HF corrosion. Subsequent electrochemical performance studies corroborated these findings. The OLO cathode with a 2% LBB coating exhibited a discharge capacity of 157.12 mAh g−1 after 100 cycles, with a capacity retention rate of 80.38%, whereas the uncoated OLO displayed only 141.67 mAh g−1 and a 72.45% capacity retention. At a 2 C rate, with the 2 wt% LBB-coated sample maintaining a discharge capacity of 140.22 mAh g−1 compared to only 107.02 mAh g−1 for the uncoated OLO.

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通过快速离子导体 Li2O-B2O3-LiBr 提高富锂正极材料电化学性能的起源
富锂阴极材料因其高比容量而在能源领域备受关注。然而,严重的容量衰减阻碍了它们的大规模应用。采用快速离子导体涂层已显示出改善其电化学性能的潜力,但这种改善的结构和化学机制仍不清楚。在本研究中,我们通过第一性原理计算系统分析了 Li2O-B2O3-LiBr(以下简称 LBB)涂层提高富锂层状正极材料 0.5Li2MnO3-0.5LiNi1/3Co1/3Mn1/3O2(以下简称 OLO)电化学性能的机理。我们的计算显示,LBB 涂层在过渡金属周围的氧原子上引入了更多负价电荷(平均 -0.14 e),从而加强了金属与氧的相互作用。这种相互作用减轻了阴离子氧化还原反应在高电压下引起的不可逆氧氧化,从而减少了电池工作过程中不可逆的结构变化。此外,虽然 Li+ 在 OLO 中的迁移势垒为 0.61 eV,但在 Li+ 脱插过程中,LBB 涂层起到了快速导管的作用,将迁移势垒降低到 0.32 eV,并将 OLO 内部迁移势垒略微降低到 0.43 eV。对涂层前后电解质副产物 HF 的结合能(分别为 -7.421 和 -3.253 eV)的计算表明,LBB 涂层能有效抵抗 HF 腐蚀。随后的电化学性能研究也证实了这些发现。具有 2% LBB 涂层的 OLO 阴极在 100 个循环后显示出 157.12 mAh g-1 的放电容量,容量保持率为 80.38%,而未涂层的 OLO 仅显示出 141.67 mAh g-1 和 72.45% 的容量保持率。在 2 C 的速率下,2 wt% LBB 涂层样品的放电容量为 140.22 mAh g-1,而无涂层 OLO 的放电容量仅为 107.02 mAh g-1。
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来源期刊
Particuology
Particuology 工程技术-材料科学:综合
CiteScore
6.70
自引率
2.90%
发文量
1730
审稿时长
32 days
期刊介绍: The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles. Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors. Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology. Key topics concerning the creation and processing of particulates include: -Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales -Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes -Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc. -Experimental and computational methods for visualization and analysis of particulate system. These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.
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