Rate dependent structural transition and cycling stability of a lithium-rich layered oxide material

文献信息

发布日期 2019-09-06

DOI 10.1039/C9CP04283K

影响因子 3.676

作者

Songyoot Kaewmala, Visittapong Yordsri, Wanwisa Limphirat, Jeffrey Nash, Pimpa Limthongkul

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摘要

Lithium-rich layered oxide materials, xLi2MnO3·(1 − x)LiMO2 (M = Mn, Fe, Co, Ni, etc.), are a promising candidate for use as cathode materials in the batteries of electric vehicles (EVs). This is due to their high energy density (∼900 W h kg−1), which is larger than those of the currently used commercial cathode materials. Moreover, EV technologies require lithium ion batteries with a high rate performance to achieve short charging times. The high rate property largely depends on the electrochemical properties of the electrodes in these batteries. However, the correlation between the cycling rate, structural stability and electrochemical properties of cathode materials is not clearly understood. In this work, the influence of cycling rate on structural transition behaviors and cycling stability of a 0.5Li2MnO3·0.5LiCoO2 composite-based material was investigated. The experimental results reveal that cycling rates significantly affect the activation of the Li2MnO3 component. A high cycling rate retards Li2MnO3 activation, leading to a smaller spinel phase transition and a higher cycling stability.

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来源期刊

Physical Chemistry Chemical Physics

CiteScore: 5.5

自引率: 10.3%

年发文量: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.