• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. Deconvolution of cyclic voltammograms of blended lithium insertion compounds by using a model-like blend electrode
 
  • Details
  • Full
Options
2018
Journal Article
Titel

Deconvolution of cyclic voltammograms of blended lithium insertion compounds by using a model-like blend electrode

Abstract
The blending of different lithium insertion compounds is a promising attempt to tailor the electrochemical performance of electrodes for lithium-ion batteries. Remarkable improvements regarding power density and safety issues have been made. However, the understanding of basic interactions between the constituents of the blend is still ongoing. Herein, we separate the current responses from the individual constituents during cyclovoltammetric measurements by using a special experimental setup and a model-like blended insertion electrode. This approach enables the deconvolution of the cyclic voltammogram of the blend, assignment of redox peaks, identification of kinetic limitations, and observation of internal dynamics gaining fundamental insights towards the properties of blended insertion electrodes.
Author(s)
Heubner, Christian
TU Dresden, IfWW
Liebmann, Tobias
Fraunhofer-Institut fĂĽr Keramische Technologien und Systeme IKTS
Lämmel, Christoph
Fraunhofer-Institut fĂĽr Keramische Technologien und Systeme IKTS
Schneider, Michael
Fraunhofer-Institut fĂĽr Keramische Technologien und Systeme IKTS
Michaelis, Alexander
Fraunhofer-Institut fĂĽr Keramische Technologien und Systeme IKTS
Zeitschrift
ChemElectroChem
Thumbnail Image
DOI
10.1002/celc.201700997
Language
English
google-scholar
Fraunhofer-Institut fĂĽr Keramische Technologien und Systeme IKTS
Tags
  • Blended electrode

  • lithium

  • insertion

  • cyclic voltammetry

  • deconvolution

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022