Substrate effects on Li+ electrodeposition in Li secondary batteries with a competitive kinetics model

Literature Information

Publication Date 2015-07-13
DOI 10.1039/C5CP02789F
Impact Factor 3.676
Authors

Qian Xu, Yifu Yang, Huixia Shao


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Abstract

A Li22Sn5 alloy was prepared as a novel substrate of the metallic Li anode of rechargeable Li batteries for Li+ deposition. The performance of this alloy substrate was compared with those of Li, Cu, and Sn substrates. The deposition–stripping cycling performance of Li on the substrates was studied through the galvanostatic charge–discharge method and cyclic voltammetry. The morphologies of the substrates before and after Li+ deposition were investigated through scanning electron microscopy and digital video microscopy. The electrochemical kinetics of Li+ electrodeposition on the different substrates was studied through the galvanostatic pulse method and linear sweep voltammetry. The solid electrolyte interface films of Li deposits on the substrates were characterized through electrochemical impedance spectroscopy. Results show that Li22Sn5 is an excellent substrate for metallic Li electrodes. “The competitive kinetics model” was proposed as a novel mechanistic model to explain the electrodeposition behavior of Li+ on general substrates based on electrochemical kinetic principles.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 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.

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