In the present era, due to environmental concerns and predictable deficiency of fossil fuels in the near future, energy sustainability, reliability and security are of utmost importance. Motivated by this scenario, our research focuses on control of energy and transportation systems. Essentially, we apply systems/control theory tools for the management of the energy and transportation systems in order to: 1) improve the overall energy efficiency and reliability, 2) tighten energy security and, 3) maintain sustainability.
Theory: Control, estimation and fault diagnosis theory for Ordinary Differential Equation (ODE) and Partial Differential Equation (PDE) systems.
Applications: Batteries, ultracapacitors, fuel cells, electric vehicles, renewable energy systems, connected and autonomous vehicles.
Thrust Area 1 - Control, Estimation and Diagnostics of Energy Storage and Conversion Systems:
Energy storage and conversion systems are the key enablers for modern/futuristic sustainable energy and transportation systems. Intelligent management of energy storage systems can potentially lead to improved safety, reliability, operational efficiency, and shelf life. In this context, we are developing real-time control, estimation and diagnostics algorithms for advanced energy storage systems such as batteries, ultracapacitors, and fuel cells.
Thrust Area 2 - Control, Estimation and Diagnostics of Connected and Autonomous Vehicles:
My other research interest deals with cyber-physical aspect of the modern/futuristic transportation systems. The interaction of cyber and physical components of the modern transportation networks is increasing the capabilities of the overall vehicle network. However, at the same time this is posing a challenge in maintaining the system safety and reliability. In this context, we are developing control, estimation and diagnostics algorithms for safe and efficient operation of such vehicle systems.
Thrust Area 3 - Diagnostics of Partial Differential Equation (PDE) Systems:
The third research area originates from the afore-mentioned applied thrust areas where several of the application systems are modelled by Partial Differential Equations (PDEs). Motivating examples are batteries, ultracapacitors, transportation networks etc. We are developing theoretical tools for PDE fault diagnosis that are: 1) based on simple design and tuning, 2) suitable for real-time implementation and, 3) robust to uncertainties. Such theoretical tools will find interesting applicability in several safety- and reliability-critical domains such as advanced manufacturing, intelligent transportation and smart power grids.