{"title":"迈向自下而上理解高熵电解质组分对锂离子电池电荷存储性能的影响。","authors":"Zihao Zeng, Tengxiang Qi, Bing-Ang Mei, Zhengxing Zuo, Huihua Feng, Rui Xiong","doi":"10.1039/d5cp01621e","DOIUrl":null,"url":null,"abstract":"<p><p>High entropy electrolytes show great potential in the design of next generation batteries. Demonstrating how salt components of high entropy electrolytes influence the charge storage performance of batteries is essential in the tuning and design of such advanced electrolytes. This study investigates the transport and interfacial properties for lithium hexafluorophosphate (LiPF<sub>6</sub>) in ethylene carbonate and dimethyl carbonate (EC/DMC) solvent with commonly used additives for high entropy electrolytes (LiTFSI, LiDFOB, and LiNO<sub>3</sub>). Using a combination of experimental measurements and numerical simulations, transport properties including ionic conductivity, viscosity, transference numbers, and solvation structures of various electrolyte formulations are examined. The results show that the addition of LiTFSI improves ionic conductivity, while LiNO<sub>3</sub> may hinder ion migration due to the formation of aggregated Li-NO<sub>3</sub><sup>-</sup> complexes. Both LiNO<sub>3</sub> and LiDFOB may result in an increase in near-surface reaction resistance. The addition of LiNO<sub>3</sub> and LiDFOB leads to an increase in capacity at low current rates but a decline at higher rates due to the coupled effect of additives on transport properties and interfacial properties. This study provides insights into the complex role of additives in optimizing the performance of lithium-ion batteries, particularly in terms of electrolyte conductivity and interfacial properties. This study establishes a general mechanistic design rule, showing that selecting electrolyte additives according to their effects on the solvation structure and aggregation enables predictive tailoring of salt combinations for either high-rate or low-rate lithium-ion battery applications.</p>","PeriodicalId":99,"journal":{"name":"Physical Chemistry Chemical Physics","volume":" ","pages":"20209-20225"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward a bottom-up understanding of the impact of high-entropy electrolyte components on the charge storage performance of lithium ion batteries.\",\"authors\":\"Zihao Zeng, Tengxiang Qi, Bing-Ang Mei, Zhengxing Zuo, Huihua Feng, Rui Xiong\",\"doi\":\"10.1039/d5cp01621e\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>High entropy electrolytes show great potential in the design of next generation batteries. Demonstrating how salt components of high entropy electrolytes influence the charge storage performance of batteries is essential in the tuning and design of such advanced electrolytes. This study investigates the transport and interfacial properties for lithium hexafluorophosphate (LiPF<sub>6</sub>) in ethylene carbonate and dimethyl carbonate (EC/DMC) solvent with commonly used additives for high entropy electrolytes (LiTFSI, LiDFOB, and LiNO<sub>3</sub>). Using a combination of experimental measurements and numerical simulations, transport properties including ionic conductivity, viscosity, transference numbers, and solvation structures of various electrolyte formulations are examined. The results show that the addition of LiTFSI improves ionic conductivity, while LiNO<sub>3</sub> may hinder ion migration due to the formation of aggregated Li-NO<sub>3</sub><sup>-</sup> complexes. Both LiNO<sub>3</sub> and LiDFOB may result in an increase in near-surface reaction resistance. The addition of LiNO<sub>3</sub> and LiDFOB leads to an increase in capacity at low current rates but a decline at higher rates due to the coupled effect of additives on transport properties and interfacial properties. This study provides insights into the complex role of additives in optimizing the performance of lithium-ion batteries, particularly in terms of electrolyte conductivity and interfacial properties. This study establishes a general mechanistic design rule, showing that selecting electrolyte additives according to their effects on the solvation structure and aggregation enables predictive tailoring of salt combinations for either high-rate or low-rate lithium-ion battery applications.</p>\",\"PeriodicalId\":99,\"journal\":{\"name\":\"Physical Chemistry Chemical Physics\",\"volume\":\" \",\"pages\":\"20209-20225\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physical Chemistry Chemical Physics\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://doi.org/10.1039/d5cp01621e\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physical Chemistry Chemical Physics","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1039/d5cp01621e","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Toward a bottom-up understanding of the impact of high-entropy electrolyte components on the charge storage performance of lithium ion batteries.
High entropy electrolytes show great potential in the design of next generation batteries. Demonstrating how salt components of high entropy electrolytes influence the charge storage performance of batteries is essential in the tuning and design of such advanced electrolytes. This study investigates the transport and interfacial properties for lithium hexafluorophosphate (LiPF6) in ethylene carbonate and dimethyl carbonate (EC/DMC) solvent with commonly used additives for high entropy electrolytes (LiTFSI, LiDFOB, and LiNO3). Using a combination of experimental measurements and numerical simulations, transport properties including ionic conductivity, viscosity, transference numbers, and solvation structures of various electrolyte formulations are examined. The results show that the addition of LiTFSI improves ionic conductivity, while LiNO3 may hinder ion migration due to the formation of aggregated Li-NO3- complexes. Both LiNO3 and LiDFOB may result in an increase in near-surface reaction resistance. The addition of LiNO3 and LiDFOB leads to an increase in capacity at low current rates but a decline at higher rates due to the coupled effect of additives on transport properties and interfacial properties. This study provides insights into the complex role of additives in optimizing the performance of lithium-ion batteries, particularly in terms of electrolyte conductivity and interfacial properties. This study establishes a general mechanistic design rule, showing that selecting electrolyte additives according to their effects on the solvation structure and aggregation enables predictive tailoring of salt combinations for either high-rate or low-rate lithium-ion battery applications.
期刊介绍:
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.