Battery management system (BMS) in electric-powered applications (Lithium-ion and lead acid batteries, etc)
. State-of-x (SOx) estimation/prediction (Electrical circuit-based model, Artificial intelligence-based etc)
. Electrochemical impedance spectroscopy (EIS)-based safety and fault diagnosis (Electrochemical model-based)
. Battery DC signal processing for AC (EIS) pattern extraction in real time
. Optimal charging strategy and monitoring in battery charger
. Hardware development/validation and firmware design (Wired BMS and Wireless BMS)
. Power electronics-based circuit (Balancing, Battery charger, etc)
. Simulation-based optimal battery module/pack configuration
. Thermal modeling and management
. Next-generation BMS (Cloud-based BMS, Digital twin, Blockchain, Cybersecurity, etc)
Multi-scale modeling of battery physics (Microscale, Continuum-scale, Reduced-order model)
BMS and in xEV retired battery (Reuse, Remanufacturing, Recycling) and optimal leveling/screening
BMS in next-generation battery (Seawater battery, Li-S, Lithium metal, Solid-state battery, VRFB, etc)
Fuse optimal design and analysis (FPCB Trace fuse, Rigid PCB)
Vehicle-to-grid (V1G&V2G) economic analysis (including ESS)
Fuel cell system research (System modeling, Ripple mitigation, Diagnosis, Thermal management)
