Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries

Most cathode materials for Li-ion batteries exhibit a low electronic conductivity. Therefore, considerable amount of conductive additives is added during electrode production. A mixed phase carbon and binder provides 3D network electron transport at the same time improves mechanical stability electrodes. However, this so-called domain (CBD) hinders lithium ions through electrolyte reduces specific energy cells. CBD content an important design parameter optimal battery performance. In present study, stochastic microstructure modeling, characterization, conductivity simulations as well microstructure-resolved electrochemical are performed to identify influence its spatial distribution on The virtual, but realistic, microstructures with different active material particle size distributions provide insights limiting mechanisms configurations. Furthermore, we use results both characterization deduce extensions homogenized cell models providing improved predictions performance contents relevant high density batteries.