Basic research
Digital Twin-Based Battery Incipient Fault Detection and Diagnosis
The practical application of incipient fault detection and diagnosis in Battery Energy Storage Systems (BESS) faces significant challenges, including complex fault characteristics, limited data availability, safety concerns, and the need for scalable real-time...
AI-Assisted Disaster Power Restoration
In the wake of a natural disaster, such as a hurricane, earthquake, or flood, the immediate aftermath often leaves communities devastated, with their energy infrastructure severely compromised or completely offline. Access to reliable energy sources is crucial for...
Fuzzy Logic Based Incipient Fault Model
Lithium-ion battery performance and longevity are critically impacted by mechanical degradation, such as particle cracking within the anode. This incipient fault gradually reduces capacity and increases safety risks. Our research tackles this challenge with a novel...
Microgrid Communication Network Optimization
After disasters, restoring power to critical facilities like hospitals is an urgent priority. However, disasters often severely damage both power and communication infrastructure, making restoration efforts particularly challenging when communication resources are...
Learning-Based Dynamic Energy Management System
The increasing integration of distributed energy resources (DERs)—such as renewable generation, energy storage systems, and responsive loads—has introduced significant variability and uncertainty into modern power systems. Traditional static energy management...
AI-Assisted Post-Disaster Power Grid Restoration with Vehicle-to-Grid (V2G) Support
Our research addresses the critical challenge of restoring electricity in the aftermath of disasters, where conventional grid infrastructure is often compromised. We propose an innovative solution that leverages the rapidly growing fleet of Electric Vehicles (EVs) as...
Adaptive Objective Function
Natural disasters, such as earthquakes, typhoons and floodings, can have a catastrophic impact on the human society. Under such situations, effective and timely power supply is critical for supporting emergency response, medical services, communications,...
Three Papers are Accepted by IEEE ICIT 2025
Three conference papers from the ADAC lab are accepted and presented at the 2025 IEEE International Conference on Industrial Technology (ICIT 2025) in Wuhan, China.1. Solid Electrolyte Interface Growth Fault Modeling for Battery State of Health Simulation (Junya Shao,...
Four Papers are Accepted by IEEE IECON 2025
Four conference papers from the ADAC lab are accepted by the 51st IEEE Annual Conference of the IEEE Industrial Electronics Society (IECON 2025) in Madrid, Spain.1. Hierarchical Ensemble Based Clustering For Networked Microgrids (Aditya Joshi, Mo-Yuen Chow) In last...
Zhiyu Long Received the Best Paper Award at IEEE IESES 2025
The research paper “Multi-Objective Energy Scheduling with Fuzzy Logic-Based Weight Tuning for Disaster Relief” has recently received the Best Paper Award at the IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES) 2025. The...