Structures of FEC-containing electrolytes and the stabilization mechanism at high voltage and elevated temperature
Literature Information
Yamin Wang, Debing Li, Xiaoying Yu, Chao Shang, Yingchun Liu, Qi Wang
The performance of lithium-ion batteries is strongly dependent on the properties of electrolytes. Understanding of the role of electrolytes is significant for the performance improvement of batteries. In this work, classical molecular dynamic simulations were used to examine the solvation effects of ions and structures of fluoroethylene carbonate (FEC)-containing electrolytes. Density functional theory (DFT) calculations were also used to predict the oxidation stabilities of such electrolytes. The FEC-related species have higher oxidation potentials (Eox) than traditional carbonate electrolytes, indicating their good oxidation stability in high-voltage systems at elevated temperatures. The ratios of species are calculated to be used as a semi-quantitative reference for selecting the representative components of electrolytes. Then, DFT calculations on the representative components show that the oxidation potentials of coordinating species are significantly lower than those of isolated molecules when oxidation is coupled with H-transfer. Ratios of species and corresponding Eox values should be considered to accurately predict the oxidation stability of electrolytes with different solvents.
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Physical Chemistry Chemical Physics

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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