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Journal of Materials Science

, Volume 51, Issue 9, pp 4358–4370 | Cite as

Carbon xerogels as model materials: toward a relationship between pore texture and electrochemical behavior as anodes for lithium-ion batteries

  • Marie-Laure C. Piedboeuf
  • Alexandre F. Léonard
  • Fabien L. Deschamps
  • Nathalie Job
Original Paper

Abstract

The mechanisms of Li+ insertion in porous hard carbons used as anodes for Li-ion batteries are still a matter of debate, especially considering the divergence of electrochemical performances observed in the literature. Since these materials usually exhibit several levels of porosity, the pore texture versus electrochemical behavior relationship is difficult to establish. In this paper, we propose to use carbon xerogels, prepared from aqueous resorcinol–formaldehyde mixtures, as model materials for Li-ion battery anodes to study the influence of the pore texture on the overall electrochemical behavior. Indeed, carbon xerogels are described as microporous nodules linked together to form meso- or macroporous voids inside a 3D gel structure; the size of these voids can be tuned by changing the synthesis conditions without affecting other parameters such as the micropore volume. The materials are chosen so as to obtain identical average particle sizes, homogeneous coatings with similar thicknesses, and a comparable surface chemistry. The electrochemical behaviors of carbon xerogels as Li-ion anodes are correlated with the surface accessible to the electrolyte and are not dependent on the total specific surface area calculated by the BET method from nitrogen adsorption isotherms. The key parameter proposed to understand their behavior is the external surface area of the nodules, which corresponds to the surface of the meso/macropores.

Keywords

Electrochemical Behavior Porous Carbon Reversible Capacity Solid Electrolyte Interphase Carbon Aerogel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

M.-L. Piedboeuf and F. Deschamps thank the F.R.S.-FNRS for their FRIA fellowship grants. The authors thank K. Traina and F. Boschini from APTIS, the University of Liège, for their help in using laser granulometry. A. Léonard gratefully acknowledges the financial support from the Région Wallonne (BATWAL Convention 1318146, PE Plan Marshall 2.vert). The authors also thank the University of Liège (Fonds Spéciaux pour la Recherche FSR C13/09) and the Fonds de Bay for their financial supports.

Supplementary material

10853_2016_9748_MOESM1_ESM.docx (1.6 mb)
Supplementary material 1 (DOCX 1654 kb)
10853_2016_9748_MOESM2_ESM.docx (54 kb)
Supplementary material 2 (DOCX 54 kb)

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Marie-Laure C. Piedboeuf
    • 1
  • Alexandre F. Léonard
    • 1
  • Fabien L. Deschamps
    • 1
  • Nathalie Job
    • 1
  1. 1.Department of Chemical Engineering – Nanomaterials, Catalysis, Electrochemistry – Institute of Chemistry (B6a)University of LiègeLiègeBelgium

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