新型炭材料（中英文）2024，Vol.39Issue(5)：1003-1014,12.DOI:10.1016/S1872-5805(24)60875-9
重质油衍生炭纳米片的储钾性能
The potassium storage performance of carbon nanosheets derived from heavy oils
摘要
Abstract
As by-products of petroleum refining,heavy oils are characterized by a high carbon content,low cost and great variab-ility,making them competitive precursors for the anodes of potassium ion batteries(PIBs).However,the relationship between heavy oil composition and potassium storage performance remains unclear.Using heavy oils containing distinct chemical groups as the car-bon source,namely fluid catalytic cracking slurry(FCCS),petroleum asphalt(PA)and deoiled asphalt(DOA),three carbon nanosheets(CNS)were prepared through a molten salt method,and used as the anodes for PIBs.The composition of the heavy oil determines the lamellar thicknesses,sp3-C/sp2-C ratio and defect concentration,thereby affecting the potassium storage performance.The high content of aromatic hydrocarbons and moderate amount of heavy component moieties in FCCS produce carbon nanosheets(CNS-FCCS)that have a smaller layer thickness,larger interlayer spacing(0.372 nm),and increased number of folds than in CNS derived from the other three precursors.These features give it faster charge/ion transfer,more potassium storage sites and better reac-tion kinetics.CNS-FCCS has a remarkable K+storage capacity(248.7 mAh g-1 after 100 cycles at 0.1 A g-1),long cycle lifespan(190.8 mAh g-1 after 800 cycles at 1.0 A g-1)and excellent rate capability,ranking it among the best materials for this application.This work sheds light on the influence of heavy oil composition on carbon structure and electrochemical performance,and provides guidance for the design and development of advanced heavy oil-derived carbon electrodes for PIBs.关键词
重质油/炭纳米片/熔盐法/四组分组成/钾离子电池Key words
Heavy oils/Carbon nanosheets/Molten salt method/Four-component composition/Potassium-ion batteries分类
化学化工引用本文复制引用
赵青山,刘钦莲,李义文,姬甜,姚雨悦,赵屹坤,邓炜,胡涵,吴明铂..重质油衍生炭纳米片的储钾性能[J].新型炭材料（中英文）,2024,39(5):1003-1014,12.基金项目
This work was financially supported by the Na-tional Natural Science Foundation of China(22208375,22138013),Key Technology Research and Industrialization Demonstration Projects of Qing-dao City(24-1-4-xxgg-6-gx),Taishan Scholar Project of Shandong Province of China(ts201712020),and Technological Leading Scholar of 10000 Talent Project(W03020508). 国家自然科学基金(22208375、22138013) （22208375,22138013）
青岛市关键技术攻关及产业化示范类项目(24-l-4-xxgg-6-gx) （24-l-4-xxgg-6-gx）
山东省泰山学者项目(ts201712020) （ts201712020）
中国"万人计划"科技领军人才项目(W03020508). （W03020508）
