Interactive Multiscale Modeling to Bridge Atomic Properties and Electrochemical Performance in Li-CO Battery Design
arXiv:2501.10954 · doi:10.1016/j.apenergy.2025.126693
Abstract
Li-CO batteries are promising energy storage systems due to their high theoretical energy density and CO fixation capability, relying on reversible LiCO/C formation during discharge/charge cycles. We present a multiscale modeling framework integrating Density Functional Theory (DFT), Ab-Initio Molecular Dynamics (AIMD), classical Molecular Dynamics (MD), and Finite Element Analysis (FEA) to investigate atomic and cell-level properties. The considered Li-CO battery consists of a lithium metal anode, an ionic liquid electrolyte, and a carbon cloth cathode with SbBiTe catalyst. DFT and AIMD determined the electrical conductivities of SbBiTe and LiCO using the Kubo-Greenwood formalism and studied the CO reduction mechanism on the cathode catalyst. MD simulations calculated the CO diffusion coefficient, Li transference number, ionic conductivity, and Li solvation structure. The FEA model, parameterized with atomistic simulations data, reproduced the available experimental voltage-capacity profile at 1 mA/cm and revealed spatio-temporal variations in LiCO/C deposition, porosity, and CO concentration dependence on discharge rates in the cathode. Accordingly, LiCO can form large and thin film deposits, leading to dispersed and local porosity changes at 0.1 mA/cm and 1 mA/cm, respectively. The capacity decreases exponentially from 81,570 mAh/g at 0.1 mA/cm to 6,200 mAh/g at 1 mA/cm, due to pore clogging from excessive discharge product deposition that limits CO transport to the cathode interior. Therefore, the performance of Li-CO batteries can be improved by enhancing CO transport, regulating LiCO deposition, and optimizing cathode architecture.
40 pages (main paper), 5 figures, graphical abstract, and supporting information file