Current Projects

Big Data based Adaptive Range Estimation

Big Data based Adaptive Range Estimation

The remaining driving range of an electric vehicle (EV) is a complex function of various types of data with different formats that need to be extracted and collected from different sources using big data analytics. In this project, we Incorporate and analyze the ancillary power consumed mainly by the heating, ventilating, and air conditioner (HVAC) system in calculating the driving range of the vehicle using big data analysis techniques.

Distributed Intelligent Energy Management for Smart Microgrids

Distributed Intelligent Energy Management for Smart Microgrids

With the increasing number of controllable distributed energy resources and responsive demands integrated into the power system, the control and management of these resources will become a challenge. This project focuses on utilizing distributed control concept to economically and intelligently manage these energy resources and demands to improve the power quality, maximize the benefit of the unit owners while ensuring their privacy.

iSpace – Intelligent Space at NC State

iSpace – Intelligent Space at NC State

Large Scale Mechatronics System that integrates distributed sensors, actuators, computing processes and information technology over a virtually or physically connected space.

Internship Projects

Adaptive Battery Management System Testbed, Summer 2012

About the Project Students built a fast-prototyping experimental platform for future battery tests. By implementing the battery monitoring algorithms on this PHEV testbed, the algorithms can be evaluated and optimized and thus make PHEV batteries more reliable....

Closed-Loop Transportation Simulation, Summer 2010

About the Project The project aims to emulate common traffic scenarios on the road scenario using four Lego Mindstorms Robots.The algorithms implemented states of the robot,simulated in the simulink already, defining the robot behaviors.Each robots is assigned a...

Completed Projects

Big Data Framework for Electric Vehicle Range Estimation

Project Description 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...

Intelligent Network-Based Control

Fig. 1 Intelligent Space via Network-Based Control. Project Description: The main objective of the Intelligent Network-Based Control Project is to develope a wireless unmanned vehicle to find its way through a platform with obstacles. It should arrive at the...

Edge detection and HPF based iSpace – Intelligent Space

Project Description: Intelligent space is a concept which fuses global information using sensors and actuators to take intelligent operational decisions for applications like robot navigation, tele-operation, remote surgery, manufacturing plant monitoring etc. iSpace...

Grid Integration of Plug-in Electric Vehicle in Smart Grid

Within the next 5 years, there will be a significant increase in the number of plug-in hybrid electric vehicles (PHEVs) and plug-in electric vehicles (PEVs). Since these vehicles utilize grid power for charging, this growth could pose potential threats and benefits...

Adaptive Battery Modeling and State Estimation

The recent acceleration of the battery technology, due to emergence of smart grid and electric vehicle (EV) applications, has increased the demand for advanced battery management systems (BMS). State of charge (SOC) and State of health (SOH) estimation are two of the...

Time-sensitive Distributed Controls on FREEDM Systems

Compared with the conventional centralized control, distributed control can prevent single point of failure and ease heavy data exchange demand among controllers, thus distributed control are more suitable for large-scale systems. This project investigates the design...

Secure Distributed Control in Networked Control Systems

Project Description: While most Networked Control systems (NCS) have been safe in the past, they are increasingly more vulnerable to malicious cyber attacks and malwares (e.g. Stuxnet and Flame) with the rapid advancements and uses with networking, embedded systems,...