Welcome to KAIST Battery System LAB (BSL)!
Prof. Yoonkoo Lee and our Researchers conduct research on batteries for future mobility.
Our work spans from material-level analyses for battery safety to the investigation of internal degradation mechanisms and thermal runaway phenomena, which are then applied to system-level modeling and optimization.
Latest News
Recent Publications
Advanced multiscale modeling of potassium-ion batteries for interplay of electrochemical and mechanical behavior across Scales (2025)
Modeling and validation of driving performance of electric vehicle converted from internal combustion engine vehicle (2025)
Multi-scale mechanical-electrochemical coupled modeling of stress generation… (2024)
Multiphysics modeling of the influence of initial pressure… (2024)
Modeling and simulation of a composite solid-state battery… (2024)
Research Interests
Simulation &
Prediction
Prediction
Physics-based and data-driven modeling of lithium-ion cells across multiple scales — from electrode microstructure to pack level. Electrochemical, mechanical, and thermal simulations enable accurate state estimation and lifetime prediction.
AI &
Control
Control
Machine learning and deep learning algorithms for real-time battery management. Data-driven SOC/SOH estimation, anomaly detection, and adaptive BMS strategies that self-optimize under varying operational conditions.
Optimization &
Demonstration
Demonstration
System-level design optimization of battery packs for EVs, drones, and ESS — covering thermal management, cell balancing, and structural layout. Hardware-in-the-loop demonstration bridges simulation and real-world validation.
Our Lab Locations
KAIST Munji Campus