Kuilin Zhang

Zhang-pers

Dr. Zhang received his Ph.D. degree in Transportation Systems Analysis and Planning from the Department of Civil and Environmental Engineering at Northwestern University in December 2009.  After working as a Postdoctoral Fellow in the Transportation Center at Northwestern, he joined the Energy Systems Division at Argonne National Laboratory as a Postdoctoral Appointee in November 2010. He is a member of Transportation Research Board (TRB) standing committees of Transportation Network Modeling (ADB30) and Freight Transportation Planning and Logistics (AT015). He is also a member of INFORMS.

Research Interests

  • Vehicle Network Microgrids
  • Dynamic network equilibrium and optimization
  • Modeling and simulation of large-scale complex systems
  • Multimodal transportation systems analysis
  • Freight transportation and logistics systems
  • Data-driven travel behavior analysis
  • Impact of plug-in electric vehicles to smart grid and transportation network systems
  • Vehicle systems dynamics and fuel-efficient driving behavior

Vehicle to Grid Research

Vehicle to Grid

Overview

By treating a hybrid vehicle as a microgrid, it has the ability to exploit interconnection strategies for plug-and-play integration with deployed microgrids while being a mobile, energy exchange system between disconnected power grids. Research is focused on optimization and control of microgrids that have a significant penetration of vehicles that can be loads, sources, or energy storage devices.

Active Projects

Applications

  • Exploiting tradeoffs between high power plug-in vehicles, storage and renewable penetration
  • Optimal storage state of charge for mobile/vehicular microgrids
  • Vehicle design impact on grid connectivity
  • Use of military hybrids for FOB microgrid deployment
  • Distributed control strategies for plug-in hybrid charging for more manageable grid load
  • Information transfer between vehicles and grid (smartgrids)

Vehicle To Grid Chain

Vehicle Chart

Vehicle – to – Vehicle Resource Sharing

Mississippi State University / U.S. DoD TARDEC

The existing communication layer for Vehicle to Grid (V2G) operations has sufficient throughput and capabilities for basic connectivity, but may not have enough for tasks such as operating military vehicle systems remotely. They cyber security approach to V2G operations has had some development in industry; however military vehicles demand more scrutiny from a cyber security perspective.

Vehicle-to-Vehicle (V2V) resource sharing would enable a greatly expanded flexibility for utilization of assets for forward operating bases (FOB). Consider a FOB with a variety of vehicle assets, each with different levels of functionality. The ability to daisy-chain the vehicle assets together (including partially disabled vehicles), have the vehicles automatically determine their net capability and then share resources to accomplish a common goal (force protection for example), would enable a level of capability not currently available.

Specific Tasks: Vehicle-to-Grid Simulation, Connection Protocol Assessment, Connection Protocol Development, Throughput Assessment, and Simulation Studies.

Investigators: Gordon Parker, Wayne Weaver, Steven Y. Goldsmith

 

Lucia Gauchia

DSC_1949Dr. Lucia Gauchia received her General Engineering degree and her Ph.D. degree in Electrical Engineering from the University Carlos III of Madrid, Spain in 2005 and 2009, respectively.

Dr. Gauchia was appointed in 2013, the Richard and Elizabeth Henes Assistant Professor of Energy Storage Systems at the Electrical and Computer Engineering Department and Mechanical Engineering-Engineering Mechanics Department at Michigan Technological University (USA). She was a Postdoctoral Research Associate with McMaster University (Canada), working for the Canada Excellence Research Chair in Hybrid Powertrain and the Green Auto Powertrain Program. From 2008 to 2012 she worked at the Power Electric Engineering Department at the University Carlos III of Madrid (Spain).

Her research interests include the testing, modeling and energy management of energy storage systems for microgrid and electrical vehicle applications. She is particularly interested in the integration of energy storage for microgids, its selection and control depending on the energy storage technology and microgrid needs.

Areas of Interest

  • Energy Storage Systems
  • State estimation for batteries and supercapacitors