22 Years' Battery Customization

Prof. Wang Yong from Environmental Chemistry, Shanghai University published the research results of lithium battery materials in the high-level journal Nature Communications.

Mar 06, 2019   Pageview:1167

Professor Wang Yong from the Institute of Cycling, the latest research paper in the field of organic electrode materials for lithium-ion batteries, "BoostingLithiumStorageinCovalentOrganicFrameworksviaActivating14-ElectronRedoxChemistry" was published in the high-level journal NatureCommunications (https://www.nature.com/articles/s41467-018) -02889-7).

 

As a high-performance energy storage device, lithium-ion batteries have been widely used in various mobile power sources and other renewable clean energy carriers. A new generation of lithium-ion batteries with high energy density and power density has attracted more and more attention. In order to further improve the performance of lithium-ion batteries, Professor Wang Yong and Associate Professor Sun Weiwei conducted research on the application of environmentally-friendly renewable organic electrode materials on lithium-ion batteries, and constructed a two-dimensional total of two layers through molecular-level design. The yoke covalent organic frame electrode material greatly improves the lithium storage performance of the organic electrode, and the reversible lithium storage capacity can be as high as 1500 mAh/g, which is inferior to the high capacity inorganic electrode material. The research results have achieved full excitation and utilization of the interlayer or internal active lithium storage sites of organic framework materials, and obtained lithium ion battery organic electrode materials with ultra-high reversible lithium storage capacity and excellent cycle stability. At the same time, through in-depth research on the mechanism of lithium storage in stages, it provides theoretical support and guidance for the design, synthesis, derivation and further application of organic framework electrode materials.

 

The page contains the contents of the machine translation.

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