Battery Research
Thermal Runaway & Battery Safety
Prof. Kim developed the very first tool for battery fire CFD simulation. This tool allows us to predict pressure and flow behavior in battery cells, as well as turbulent combustion behavior outside of battery cells due to the jet flow coming out from safety vents.
Physics-Based Modeling (P2D/MSMD)
Our in-house Newman's pseudo-two-dimensional (P2D) model equipped with robust numerical algorithms can simulate batteries at extreme operating conditions, such as extreme-fast-charging (XFC) over a wide range of temperatures and material properties.
Battery Thermal Management (BTMS)
Our 3D battery multi-physics simulation tools based on MSMD Approach enables electrochemical-thermal simulations of large-format cells. This is critical for optimizing form factors to meet required specifications such as pack-level charging times and driving range.
BMS & State Estimation
We develop advanced algorithms for battery management systems including state-of-charge (SOC), state-of-health (SOH), and remaining useful life (RUL) estimation using physics-based and data-driven approaches.
Battery Degradation & Lifetime
We study battery degradation mechanisms and develop predictive models for battery lifetime assessment. Our models consider various aging mechanisms including SEI growth, lithium plating, and mechanical degradation.
