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Preparation of gelatin-derived nitrogen-doped large pore volume porous carbons as sulfur hosts for lithium-sulfur batteries

SUN Chun-shui GUO De-cai SHAO Qin-jun CHEN Jian

孙春水, 郭德才, 邵钦君, 陈剑. 明胶基氮掺杂大孔容多孔炭的制备及在锂硫电池硫正极中的应用[J]. 新型炭材料, 2021, 36(1): 198-208. doi: 10.1016/S1872-5805(21)60014-8
引用本文: 孙春水, 郭德才, 邵钦君, 陈剑. 明胶基氮掺杂大孔容多孔炭的制备及在锂硫电池硫正极中的应用[J]. 新型炭材料, 2021, 36(1): 198-208. doi: 10.1016/S1872-5805(21)60014-8
SUN Chun-shui, GUO De-cai, SHAO Qin-jun, CHEN Jian. Preparation of gelatin-derived nitrogen-doped large pore volume porous carbons as sulfur hosts for lithium-sulfur batteries[J]. NEW CARBOM MATERIALS, 2021, 36(1): 198-208. doi: 10.1016/S1872-5805(21)60014-8
Citation: SUN Chun-shui, GUO De-cai, SHAO Qin-jun, CHEN Jian. Preparation of gelatin-derived nitrogen-doped large pore volume porous carbons as sulfur hosts for lithium-sulfur batteries[J]. NEW CARBOM MATERIALS, 2021, 36(1): 198-208. doi: 10.1016/S1872-5805(21)60014-8

明胶基氮掺杂大孔容多孔炭的制备及在锂硫电池硫正极中的应用

doi: 10.1016/S1872-5805(21)60014-8
详细信息
  • 中图分类号: TQ127.1+1

Preparation of gelatin-derived nitrogen-doped large pore volume porous carbons as sulfur hosts for lithium-sulfur batteries

Funds: This work was supported by the funding from the Strategy Priority Research Program of Chinese Academy of Science (XDA17020404), R&D Projects in Key Areas of Guangdong Province (2019B090908001), Science and Technology Innovation Foundation of Dalian (2018J11CY020), Defense Industrial Technology Development Program (JCKY2018130C107)
More Information
  • 摘要: 以富含氨基酸的明胶为前驱体、二氧化硅和冰为双模板,通过冷冻干燥法制备得到了高氮掺杂的大孔容多孔炭材料(GPC),将其作为正极硫载体。通过调整模板的配比,调控了GPC材料的孔道结构和孔容。多硫化锂吸附实验表明,氮掺杂的GPC材料对多硫化锂具有较强的化学吸附能力。电化学测试结果表明,氮掺杂有利于加快硫的还原反应动力学,从而抑制多硫化锂的穿梭效应。同时,GPC的孔容越大,硫正极的循环稳定性越优。所制具有7.00%的高氮含量和2.98 cm3 g−1孔容的GPC材料,不仅可以实现78.4%的高硫含量,而且还获得了较高的硫利用率。同时,所制GPC-S正极在0.1 C倍率下,初始放电比容量高达1 384 mAh g−1,循环100次后比容量仍达到608 mAh g−1
  • Figure  1.  SEM images of (a) GPC-2 (the inset is GPC-1, GPC-3 and GPC-4), (b) BP2000, (c) carbon-sulfur composite GPC-2-S and (d) BP2000-S.

    Figure  2.  TEM images of (a) GPC-1, (b) GPC-2, (c) GPC-3, (d) GPC-4, (e) BP2000 and (f) high resolution TEM image of GPC-2.

    Figure  3.  (a) Wide-angle XRD patterns, (b) Raman patterns of GPCs and BP2000, (c) N2 adsorption /desorption isotherms and (d) Pore size distributions of GPCs and BP2000 obtained using the BJH method calculated by the adsorption branch.

    Figure  4.  FTIR spectra of the GPCs.

    Figure  5.  The fitting results of the N 1s XPS spectra of GPCs.

    Figure  6.  (a) Cycle voltage profile of the GPCs-S and BP2000-S electrodes at a sweep rate of 0.1 mV s−1, (b) Charge/discharge potential profiles of the GPCs-S and BP2000-S electrodes, (c) Cycle capabilities of the GPCs-S and BP2000-S electrodes at 0.1 C and (d) Rate capabilities of the BP2000-S and GPC-2-S electrodes.

    Figure  7.  (a) The adsorption ability comparison of GPCs and BP2000 host materials with Li2S6 as the representative polysulfide and (b) Ultraviolet/visible absorption spectra of the original Li2S6 solution and Li2S6 solution after the addition of GPCs and BP2000.

    Table  1.   Synthesis conditions and structure parameters of GPCs.

    SamplesSynthesis conditionsStructure parameters
    H2O(mL)m${}_{{}_{({\rm{SiO}}_2)}} $/m(gelatin)SBET(m2 g−1)Vtotal(cm3 g−1)
    GPC-14018383.24
    GPC-216019912.98
    GPC-3402.511281.34
    GPC-440512511.04
    BP2000--15252.04
    下载: 导出CSV

    Table  2.   Elemental compositions of GPCs and BP2000.

    SampleXPS (at. %)Elemental analysis (wt. %)
    C O N C O N
    GPC-184.3411.313.9576.2713.318.81
    GPC-283.5710.226.2176.8914.187.00
    GPC-378.3413.965.7272.7119.315.91
    GPC-483.519.805.6374.3315.807.22
    BP200086.1213.88-96.732.73-
    下载: 导出CSV

    Table  3.   A summary of the cycle performance of previously reported biomass based carbon hosts.

    SamplesSulfur content
    (wt. %)
    Sulfur loading
    (mg cm−2)
    Rate
    (C)
    Initial capacity
    (mAh g−1)
    CyclesCapacity
    (mAh g−1)
    Capacity decay
    (%)
    Refs.
    MPNC-S80.0%1.10.11013508104.06[52]
    M/P-1/S60.0%-0.211451007583.87[40]
    MCF/S57.2%-0.051285508788.14[53]
    S/ACF60.0%-0.212581007505.08[21]
    N-PCNF/S77.0%0.9-1.00.21077.21807501.82[54]
    GPC-2-S78.4%1.650.113841006087.76This work
    下载: 导出CSV
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  • 收稿日期:  2021-01-06
  • 修回日期:  2021-01-11
  • 网络出版日期:  2021-02-03
  • 刊出日期:  2021-02-01

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