DEPLOYING FAST CHARGING INFRASTRUCTURE FOR ELECTRIC VEHICLES IN URBAN NETWORKS: AN ACTIVITY-BASED APPROACH

Conference · Wed May 01 04:00:00 EDT 2024 · Transportation research record

DOI:https://doi.org/10.1177/03611981231189742· OSTI ID:2572148

Kavianipour, Mohammadreza; Verbas, Omer; Rostami, Alireza; Soltanpour, Amirali; Gurumurthy, Krishna Murthy; Ghamami, Mehrnaz; Zockaie, Ali

This paper explores an important problem under the domain of network modeling, the optimal configuration of charging infrastructure for electric vehicles (EVs) in urban networks considering EV users' daily activities and charging behavior. This study proposes a charging behavior simulation model considering different initial state of charge (SOC), travel distance, availability of home chargers, and the daily schedule of trips for each traveler. The proposed charging behavior simulation model examines the complete chain of trips for EV users as well as the interdependency of trips traveled by each driver. The problem of finding the optimum charging configuration is then formulated as a mixed-integer nonlinear programming problem that considers the dynamics of travel time and travel distance, the interdependency of trips made by each driver, limited range of EVs, remaining battery capacity for recharging, waiting time in queue, and detour to access a charging station. This problem is solved using a metaheuristic approach for a large-scale case network. A series of examples are presented to demonstrate the model efficacy and explore the impact of energy consumption on the final SOC and the optimum charging infrastructure.

• Research Organization: Argonne National Laboratory (ANL)
• Sponsoring Organization: US Department of Energy; USDOE Office of Energy Efficiency and Renewable Energy (EERE) - Office of Vehicle Technologies (VTO)
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 2572148
• Conference Information: Journal Name: Transportation research record Journal Volume: 2678
• Country of Publication: United States
• Language: English

Related Subjects

Chain of Trips
Charging Behavior Simulation
Charging Infrastructure Planning
Electric Vehicles
Network Modeling
Public Charging Station
System Optimization