(607c) Digital-Twin Battery Modeling and Simulations for Next-Generation Batteries
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Nanoscale Science and Engineering Forum
Machine Learning for Nanomaterials for Energy Applications
Wednesday, October 30, 2024 - 4:10pm to 4:30pm
In this endeavor, we embark on an exploration of how digital-twin 3D modeling reshapes the landscape of all-solid-state battery research. We delve into its applications, from visualizing the microcosm of composite electrodes to quantifying specific contact areas between electrode constituents and calculating effective electronic or ionic conductivity. Furthermore, we navigate the realm of simulations, unveiling their prowess in depicting voltage profiles, overpotentials, and lithium ion concentrations during cycling. Additionally, we unveil the successful simulation of mechanical behaviors within single electrode particles throughout the charging and discharging phases, marking a significant stride in our understanding.
Beyond the confines of electrochemistry, our inquiry extends to the mechanical realm, where we elucidate the structural deformation of composite electrodes through a comparative analysis employing finite element, finite volume, and discrete element methodologies. This comprehensive investigation not only sheds light on the multifaceted nature of all-solid-state batteries but also underscores the versatility and potency of digital-twin-driven 3D modeling in driving innovation within the realm of energy storage.