4.6 Article

Quantifying Negative Effects of Carbon-Binder Networks from Electrochemical Performance of Porous Li-Ion Electrodes

期刊

出版社

ELECTROCHEMICAL SOC INC
DOI: 10.1149/1945-7111/ac1033

关键词

Batteries Li-ion; Design; Electrode Kinetics; Energy Storage

资金

  1. Electrochemical Society's 2018 Edward G. Weston summer fellowship
  2. DOE's Vehicle Technologies Office (VTO)
  3. DOE Office of Science [DE-AC02-06CH11357]

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This study systematically characterized the effects of the carbon-binder network on electrode performance by analyzing measured responses using macrohomogeneous models for electrodes with different carbon-binder content, thickness, and porosity but with identical materials. The research found that the impact of the carbon-binder network is more severe than previously thought, even at low content, causing a decrease in reaction area and an increase in ion transport resistance.
Porous Li-ion electrodes contain active particles, ion transporting electrolyte, and carbon-binder networks. While macrohomogeneous models are often used to predict electrode behavior, accurate predictions remain challenging, owing to the incomplete understanding of the critical role of carbon-binder networks and how they affect the electrochemical response. The present study systematically characterizes these effects in terms of effective properties by utilizing macrohomogeneous models to analyze the measured responses for electrodes with different carbon-binder content, electrode thickness, and porosity but with identical materials. We find that the impact of the carbon-binder network is more severe than previously thought. Even for low carbon-binder content (5 %wt. dry electrode), the presence of the network decreases the reaction area and increases the ion transport resistance, negatively impacting electrode performance. These effects scale with not just porosity or active material volume but also with carbon-binder content. The findings underscore the importance of connecting all effective properties to electrode specifications in a full factorial sense to transform the electrode design paradigm.

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