As the world moves toward more efficient, effective, and economic use of resources,
the
modeling landscape is becoming increasingly critical. For battery systems, modeling
assists in
- Design and Optimization
- State Estimation and Control
Battery systems are highly nonlinear and interdisciplinary. While electrochemical,
electrical,
and thermal subdomains are relatively well-explored, thermal runaway, the critical
bottleneck
limiting Li-ion battery use in several applications, demands deep translational research.
Our Core Research:
Battery Safety: Engineering safety around the battery, not inside it. We focus on
developing Thermal Runaway Models that can assist in design of systems during development
phase and in prediction during real-time operation.
Key Research Focus:
- Reduced order Modeling of Thermal Runaway with various trigger Mechanisms
- Design of Battery Thermal Management Systems with Thermal Runaway Considerations
- Physics Informed Neural Networks for Thermal Runaway Modeling
- Digital Twin Models integrating Electrical, Thermal and Thermal Runaway
Modeling for Deployment to Battery Management Systems (BMS)
Additional Areas:
- Battery Management Systems
- Electrical and Electrochemical Modeling
- State Estimation and Control
- Cell Testing and Characterization.
Moreover, we propose an integrated battery model covering critical subdomains such
as
electrical, Thermal and Thermal Runaway to give a holistic tool titled Li-Therm.