Session Detail Information
Add this session to your itinerary

Cluster :  Transportation, Science and Logistics

Session Information  : Monday Nov 02, 08:00 - 09:30

Title:  Electric Vehicles II
Chair: M. Hadi Amini,Phd Fellow, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, Pittsburgh PA 15213, United States of America, amini@cmu.edu

Abstract Details

Title: Routing Aspects of Electric Vehicle Users and Their Effects on Network Performance
 Presenting Author: Shubham Agrawal,Purdue University, West lafayette IN, United States of America, shubham@purdue.edu
 Co-Author: Amit Kumar,kumar44@purdue.edu
 Srinivas Peeta,Professor, Purdue University, Nextrans Center, 3000 Kent Ave, West Lafayette In 47906, United States of America, peeta@purdue.edu
 Hong Zheng,Purdue University, United States of America, zheng255@purdue.edu
 
Abstract: This study investigates the dynamic equilibrium for mixed traffic involving Battery Electric Vehicles (BEVs) and Internal Combustion Engine Vehicles (ICEVs). The BEVs’ routing behavior with preference to minimize battery consumption and reduce range anxiety is modeled and analyzed. Due to the energy efficiency considerations in route selection for BEVs, the network performance in terms of total travel time is analyzed under different market penetrations of BEVs.
  
Title: A Continuum Approximation Model for Electric Vehicle Sharing
 Presenting Author: Xiaopeng Li,University of South Florida, Department of Civil and Environmental Engineering, 4202 E. Fowler Avenue, Tampa FL 33620, United States of America, xiaopengli@usf.edu
 Co-Author: Jianxun Cui,Assistant Professor, Harbin Institute of Technology, 92 Xidazhi Street, Nangang, Harbin 150001, China, cuijianxun@hit.edu.cn
 Amir Ghiasi,Phd Student, University of South Florida, Department of Civil and Environmental Engineering, 4202 E. Fowler Avenue, Tampa FL 33620, United States of America, amirghiasi@mail.usf.edu
 Jiaqi Ma,Leidos Inc., 6300 Georgetown Pike, McLean VA 22101, United States of America, JIAQI.MA@leidos.com
 Fang Zhou,Graduate Research Assistant, Mississippi State University, PO 9546, Mississippi State MS, United States of America, fz70@msstate.edu
 
Abstract: This paper proposes a Continuum Approximation (CA) model for design of a one-way Electrical Vehicle (EV) sharing system that serves a metropolitan area. This model determines the optimal EV sharing station locations and the corresponding EV fleet sizes to minimize the comprehensive system cost (including station construction investment, vehicle maintenance, transportation, and vehicle balancing) under stochastic and dynamic trip demands.
  
Title: Modeling Network Equilibrium with Mixed Flows of Electric and Gasoline Vehicles
 Presenting Author: Xiaozheng He,Research Associate, Purdue University, Nextrans Center, 3000 Kent Avenue, West Lafayette In 47906, United States of America, seanhe@purdue.edu
 Co-Author: Srinivas Peeta,Professor, Purdue University, Nextrans Center, 3000 Kent Ave, West Lafayette In 47906, United States of America, peeta@purdue.edu
 Hong Zheng,Purdue University, United States of America, zheng255@purdue.edu
 
Abstract: This study develops a variational inequality formulation for the network equilibrium of mixed traffic flows consisting of electric and gasoline vehicles, where energy consumption is modeled as a function of traffic flow and considered in the drivers perceived travel cost. Numerical examples illustrate the impact of energy prices on network equilibrium and provide insights for policy-making to promote the usage of electric vehicles.
  
Title: ***NO SHOW***On the Effect of Electric Vehicle Parking Lots’ as Dispatchable Loads on the Power System Loss
 Presenting Author: M. Hadi Amini,Phd Fellow, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, Pittsburgh PA 15213, United States of America, amini@cmu.edu
 Co-Author: Marija D. Ilic,Professor, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh PA 15213, United States of America, milic@ec.cmu.edu
 Orkun Karabasoglu,Assistant Professor, SYSU-CMU Joint Institute of Engineering, 5000 Forbes Ave, Pittsburgh PA 15213, United States of America, karabasoglu@cmu.edu
 
Abstract: We investigate the effect of parking lots characteristics (charging rate, capacity in terms of number of EVs, and location in the power network) on the network's hourly loss and daily energy loss. Parking lots are modeled as EV demand aggregators. To this end, we define four scenarios to determine the effect of charging rate and distribution of EVs over the network on the system loss. We also evaluate the effect of EV parking lot's location on the system loss.