Linking electrode processing to carbon microstructure and battery performance via elemental mapping
Year: 2025
Type: article
Abstract: The effect of processing parameters on final electrode performance has been a prevalent topic of research for lithium-ion batteries. This study investigates the microstructural changes in Ni0.33Mn0.33Co0.33O2 (NMC111) cathodes using elemental mapping via energy-dispersive x-ray spectroscopy (EDS). The analysis uses a novel linear distribution function (LDF) to quantify the connections between active material and conductive carbon under different processing conditions, i.e., coating rates, drying temperatures, and wet film thicknesses. The LDF analysis demonstrates that calendering leads to increased short-range contacts between carbon and active material, independent of shear rate during coating, which improves electrode performance. Furthermore, the LDF analysis was used to identify electrodes with similar carbon-active particle microstructure, but different thicknesses and porosity, to determine the effect of ion transport on electrode performance. Consistent with theory, the ratio of electrode thickness to porosity correlates with the inverse of critical discharge rate. These results have important implications for processing and design rules for lithium-ion batteries and demonstrate how processing parameters affect conductive electronic and ionic pathways, which ultimately dictate electrode performance.
Source: Journal of Power Sources
Authors: Shihao Pan, Maureen H. Tang, Nicolas J. Alvarez
Institution: Drexel University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,230
Award: G7976827648
OpenAlex ID: W7106834525
