Electric Vehicles

A Second-Order Cone Programming Model for Planning PEV Fast-Charging Stations

Zhang, Hongcai
Moura, Scott J.
Hu, Zechun
Qi, Wei
2018

This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on coupled transportation and power networks. We develop a closed-form model for PEV fast-charging stations' service abilities, which considers heterogeneous PEV driving ranges and charging demands. We utilize a modified capacitated flow refueling location model based on subpaths (CFRLM_SP) to explicitly capture time-varying PEV charging demands on the transportation network under driving range constraints. We explore extra constraints of the CFRLM_SP to enhance model accuracy and computational...

Planning for Electric Vehicle Needs by Coupling Charging Profiles with Urban Mobility

Xu, Yanyan
Çolak, Serdar
Kara, Emre C.
Moura, Scott J.
González, Marta C.
2018

The rising adoption of plug-in electric vehicles (PEVs) leads to the temporal alignment of their electricity and mobility demands. However, mobility demand has not yet been considered in electricity planning and management. Here, we present a method to estimate individual mobility of PEV drivers at fine temporal and spatial resolution, by integrating three unique datasets of mobile phone activity of 1.39 million Bay Area residents, census data and the PEV drivers survey data. Through coupling the uncovered patterns of PEV mobility with the charging activity of PEVs in 580,000 session...

PEV Fast-Charging Station Siting and Sizing on Coupled Transportation and Power Networks

Zhang, Hongcai
Moura, Scott J.
Hu, Zechun
Song, Yonghua
2018

Plug-in electric vehicle (PEV) charging stations couple future transportation systems and power systems. That is, PEV driving and charging behavior will influence the two networks simultaneously. This paper studies optimal planning of PEV fast-charging stations considering the interactions between the transportation and electrical networks. The geographical targeted planning area is a highway transportation network powered by a high voltage distribution network. First, we propose the capacitated-flow refueling location model (CFRLM) to explicitly capture PEV charging demands on the...

Joint PEV Charging Network and Distributed PV Generation Planning Based on Accelerated Generalized Benders Decomposition

Zhang, Hongcai
Moura, Scott J.
Hu, Zechun
Qi, Wei
Song, Yonghua
2018

Integration of plug-in electric vehicles (PEVs) with distributed renewable power sources will reduce PEVs' well-to-wheels greenhouse gas emissions, promote renewable power adoption, and defer power system investments. This paper proposes a multidisciplinary approach to jointly plan PEV charging stations and distributed photovoltaic (PV) power plants on a coupled transportation and power network. We formulate a two-stage stochastic programming model to determine the sites and sizes of: 1) PEV charging stations and 2) PV power plants. This proposed method incorporates comprehensive models of...

Solving Overstay in PEV Charging Station Planning via Chance Constrained Optimization

Zeng, Teng
Zhang, Hongcai
Moura, Scott
2019

Currently, the utilization rate of public plug-in electric vehicle (PEV) charging stations is only 15%. During the other 85% of the time, the chargers are either idle or occupied by a fully charged PEV. Strategically switching a fully charged PEV to another one waiting to charge, which we refer to as interchange, is an indispensable measure to enhancing charging station utilization. This paper studies the PEV charging station planning problem considering strategic interchange, which has not yet been well studied in the literature. The objective is to enhance utilization rate while lowering...

A Game-Theoretic Approach to Analyzing Equilibria in Coupled Power and Transportation Networks

Zhou, Zhe
Zhang, Xuan
Moura, Scott J.
Zhang, Hongcai
Guo, Qinglai
Sun, Hongbin
2019

This paper establishes a systematic framework to analyze the joint charging and routing behavior of electric vehicles (EVs) and how they affect both the power and transportation systems. Fast charging enables EVs to re-charge at public charging stations during a trip, thereby redistributing the charging load and traffic flow at the same time. Finding an equilibrium in the coupled networks is challenging because the traffic flow is incentivized by the charging price, which changes as the electric power flow redistributes. We adopt a game-theoretic approach for modeling and propose a...

Charging Infrastructure Demands of Shared-Use Autonomous Electric Vehicles in Urban Areas

Zhang, Hongcai
Sheppard, Colin J. R.
Lipman, Timothy E.
Zeng, Teng
Moura, Scott J.
2020

Ride-hailing is a clear initial market for autonomous electric vehicles (AEVs) because it features high vehicle utilization levels and strong incentive to cut down labor costs. An extensive and reliable network of recharging infrastructure is the prerequisite to launch a lucrative AEV ride-hailing fleet. Hence, it is necessary to estimate the charging infrastructure demands for an AEV fleet in advance. This study proposes a charging system planning framework for a shared-use AEV fleet providing ride-hailing services in urban area. We first adopt an agent-based simulation model, called BEAM...

Solving Overstay and Stochasticity in PEV Charging Station Planning With Real Data

Zeng, Teng
Zhang, Hongcai
Moura, Scott
2020

This article studies optimal plug-in electric vehicle (PEV) charging station planning, with consideration for the “overstay” problem. Today, public PEV charging station utilization is typically around 15%. When un-utilized, the chargers are either idle or occupied by a fully charged PEV that has not departed. We call this “overstay.” This motivates a strategy for increasing utilization by interchanging fully charged PEVs with those waiting for service-an issue which is not well addressed in the existing literature. Thus, this article studies the PEV charging station planning problem taking...

Inducing Human Behavior to Alleviate Overstay at PEV Charging Station

Bae, Sangjae
Zeng, Teng
Travacca, Bertrand
Moura, Scott
2020

This paper proposes a mathematical framework to optimally operate a plug-in electric vehicle (PEV) charging station, using differentiated charging services. The mathematical framework specifically exploits human behavioral modeling to alleviate "overstay" - when a PEV remains plugged-in after charging service is complete. Discrete Choice Modeling is utilized to capture human decision-making behavior among multiple charging service options that differ in both price and quality-of-service. We reformulate an associated non-convex problem to a multi-convex problem via the Young-Fenchel...

Power-Traffic Network Equilibrium Incorporating Behavioral Theory: A Potential Game Perspective

Zhou, Zhe
Moura, Scott J.
Zhang, Hongcai
Zhang, Xuan
Guo, Qinglai
Sun, Hongbin
2021

This paper examines the interconnections between the power and transportation networks from a game theoretic perspective. Electric vehicle travelers choose the lowest-cost routes in response to the price of electricity and traffic conditions, which in turn affects the operation of the power and transportation networks. In particular, discrete choice models are utilized to describe the behavioral process of electric vehicle drivers. A game theoretic approach is employed to describe the competing behavior between the drivers and power generation units. The power-traffic network equilibrium...