- Battery impedance detection using EIS for advanced SOH estimation
- AI and model-based approaches for fault diagnosis and imbalance detection

- Identification of fault factors and battery abuse risks
- AI-based and model-based fault diagnosis for improved safety

- Analysis of model-based and AI-based SOx estimation methods
- Optimization of battery management for improved performance and safety

- Development of next-generation BMS hardware and sensor integration
- Adaptive BMS topology for high-capacity battery packs with balancing system

- Analysis of battery performance and safety issues related to temperature
- Thermal modeling, simulation, and cooling system design for BMS integration

- Integration of cloud-based BMS, digital twins, and real-time monitoring for advanced battery management
- Economic analysis of vehicle-to-grid (V2G) and strategies for retired battery reuse

- Analysis of definition-based, PINN-based, observer-based, and filter-based modeling approaches
- Application of SOx estimation and RUL prediction for battery health monitoring