New Insights on Electrochemical Parameters in Battery Modeling through 3D Digital Twin Structural Analysis

Abstract

Electrochemical parameters such as chemical diffusion coefficients and exchange current densities are very critical in simulating electrochemical battery models. However, conventional experimental methods have not reflect actual status of composite electrodes and cells due to the limitation in analyzing their micro-structures. To address these challenges, we attempted to draw 3D digital twin structures of composite electrodes and cells and then quantify veiled parameters like active surface area. As a result, we could obtain more correct chemical diffusion coefficients and exchange current densities and improve the reliability of electrochemical battery models. In this work, we will introduce how to build and use 3D digital twin structures of composite electrodes for lithium-ion batteries.[References]1. J. Park, Y. M. Lee et al., Energy Storage Materials, 19 (2019) 124-1292. J. Park, Y. M. Lee et al., Advanced Energy Materials, 10(35) (2020) 20015633. J. Kim, J. Park, Y. M. Lee et al., ACS Energy Letters, 5(9) (2020) 2995-30044. J. Kim, S. Jung, Y. M. Lee et al., Advanced Energy Materials , Online published (2021)