Completed Projects
Battery Incipient Fault Digital Twin (BIF-DT)
Battery Energy Storage Systems (BESS) are critical for maintaining the stability and reliability of microgrids. By balancing power supply, smoothing fluctuations, and regulating voltage and frequency, BESS play a key role in modern energy systems. However,...
Hierarchical Collaborative Distributed Energy Management Systems (H-CoDEMS)
In an era where climate-driven disasters and energy disruptions are becoming more frequent and severe, building a power grid that is intelligent, resilient, and adaptive is no longer a luxury—it’s a necessity. Conventional, centrally controlled energy systems...
Battery Incipient Fault Detection and Diagnosis (BIF-DD)
To address the challenges posed by faults in Battery Energy Storage Systems (BESS), the ADAC Lab has developed advanced monitoring and fault detection solutions. We have developed a comprehensive Battery Incipient Fault Detection and Diagnosis (BIF-DD)...
iSpace
Intelligent Space (iSpace) is a relatively new concept to effectively use distributed sensors, actuators, robots, computing processors, and information technology over communication networks. iSpace is a large scale Mechatronics System by integrating sensors,...
Collaborative Distributed Energy Management Systems (CoDEMS)
Typically, the distributed energy resources (DER) are controlled by the utility distribution management system (DMS) or DER management system (DERMS). If hosted by microgrid, the microgrid energy management system (MG-EMS) will be added between the DMS/DERMS...
Resilient Energy Magament in ugrid Simulator (REMμS)
The microgrid is envisioned to be the building block of the future smart grid, for its abilities to host distributed energy resources, to improve grid reliability, and to enhance system resiliency. One of the most studied research topics of the microgrid...
Neighborhood watch
One of the pressing challenges in the distributed EMS field is cybersecurity. Energy system is one of the most critical infrastructures. Its security is of paramount significance to the well-being of the society. Most state-of-the-art distributed EMS...
Samsung Project – Big Data Based Remaining Driving Range Estimation
The amount of data collected in Electric Vehicles has been growing fast because we have many more sensors, higher bandwidth communication systems, and cheaper memory to monitor and measure real-time driving range related data and store the data on the...
Reinforcement Learning
Under Construction
Agent Based Modeling
Under Construction
First Principle Based Four Dimensional Battery Degradation Model (4DM)
The First Principle Based Four Dimensional Battery Degradation Model (4DM) is computer simulation model for battery dynamics studies under different degradation and operating conditions. The 4DM is designed based on the physics of operation of the battery, i.e., the...
Co-Estimation Algorithm
Real-time estimation of the state of charge (SOC) of the battery is a crucial need in the growing fields of plug-in hybrid electric vehicles and smart grid applications. The SOC estimation accuracy depends on the accuracy of the model used to describe...
High Temperature Embedded/Integrated Sensors for Remote Monitoring of Reactor and Fuel Cycle Systems (HiTEIS)
More than 10,000 sensors and detectors are usually adopted in a typical nuclear power plant (NPP) unit for measurements and controls of nuclear and non-nuclear processes, radiation monitoring, and other special applications including vibration measurements, hydrogen concentration monitoring, water conductivity and boric acid concentration measurement, or failed fuel detection, etc.In this project, we develop, test and validate high temperature (> 600°C) embedded/integrated sensors (HiTEIS) for wireless monitoring of temperature, vibration, water level, pressure and structural integrity.