There are currently several research  areas pursued in our group.

 

Connected Vehicles

 

Cyber Security of Connected Vehicles

 

Diagnostics

 

Prognostics

 

Energy Management

 

Inter_Area Energy Storage Control

 

 

A Fuel Economic Model Predictive Control Strategy for a Group of Connected Vehicles in Urban Roads

 

Objective: Develop fuel efficient decentralized control strategies for Connected Vehicles to improve the efficiency of the group in urban road conditions.

 

Team

–  Prof. Pierluigi Pisu, Prof. Ardalan Vahidi

–  Postdoc: Baisravan HomChaudhuri

 

Secure Vehicle Localization and Cruise Control for Connected Vehicles

 

Objective: Develop fault diagnostics strategies for individual vehicles in Connected Vehicle Scenario.

 

Team

–  Prof. Pierluigi Pisu

–  Postdoc: Baisravan HomChaudhuri

Connected Vehicles

 

 

Cyber Security of connected vehicles

 

Objective: Decentralized failure detection and reconstruction for connected vehicles and autonomous vehicles to improve the performance under network failures such as packet drop out and etc.

 

Team

–  Prof. Pierluigi Pisu

–  Student : Zoleikha Abdollahi

 

 

 

Safety of car internal network

 

Objective: Vehicles internal network is vulnerable to failure regarding of sending wrong message or to be affected with viruses. Observing important ECUs in vehicles to receive correct information is vital for vehicle performance.

 

Team

–  Prof. Pierluigi Pisu

–  Student : Zoleikha Abdollahi

Cyber Security of Connected Vehicles

 

 

 

Wind Turbine Fault Diagnosis Schemes

 

Objective: Create H infinity optimization-based approach for the detection and isolation of faults in a horizontal axis wind turbine

 

Team

–  Prof. Pisu, Prof. Ayalew

–  Students: Satadru Dey

 

Estimation and Diagnostics
of Li-ion Batteries

 

Objective: Develop algorithms for Li-ion battery
state-of-charge and state-of-health estimation.  Verify the effectiveness of the algorithms by theoretical analysis, simulation studies and hardware experiments.

 

Team

–  Prof. Pisu, Prof. Ayalew

–  Students: Satadru Dey

Diagnostics

 

Prognostics and Health-Management Oriented Fuel Cell Modeling

 

Objectives:

–  Derivation of a physics based aging model for catalyst degradation in PEM Fuel Cells

–  State of health estimation of the Fuel Cell

–  Prediction of remaining useful life – Integration of prognostics algorithm with control structure

 

Team

–  Prof. Pisu

–  Students: Xian Zhang

Prognostics

Energy Control Strategy for Driver Eco-Driving

 

Objective:  Implement an Eco-Driving system which allows the training of bus drivers to achieve an optimal driving style for fuel economy improvement.

 

Approach:

–  Generate a baseline driving profile

–  Implement a backward simulator

–  Generate a driving profile optimization algorithm

–  Propose a scoring method

–  Propose a feedback system driver interface

 

Team:

–  Prof. Pisu, Prof. Taiber

–  Students: Jackeline Rios-Torres, Pablo Sauras-Perez, Ruben Alfaro, Prashant Salla

 

 

Energy Management Using Vehicle-Infrastructure Integration

 

 

Objective: To develop a system to maximize the benefits of Plug-in Hybrid Electric Vehicles (PHEV) based on the use of different levels of information obtained through vehicle to infrastructure integration (VII).

 

Components:

–  Energy management in PHEVs

–  Prediction of trip information

–  Routing control

 

Team:

– Y. He, M. Chowdhury, Y. Ma, and P. Pisu. "Merging Mobility and Energy Vision with Hybrid Electric Vehicles and Vehicle Infrastructure Integration," Energy Policy, 41, pp. 599-609, Feb. 2012.

Energy Management

 

Decentralized Damping Control of Inter-Area Oscillations Using Distributed Energy Storage

 

Objective: Develop decentralized control strategies for damping inter-area oscillations in power systems utilizing distributed energy storage and decomposition methodologies.

 

Team

–  Prof. Pierluigi Pisu, Prof. Ümit Özgüner

–  Postdoc: Baisravan HomChaudhuri

Inter-Area Energy Storage Control