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Journal ArticleDOI

Optimal deployment of public charging stations for plug-in hybrid electric vehicles

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TLDR
In this article, the authors developed an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs.
Abstract
This paper develops an equilibrium modeling framework that captures the interactions among availability of public charging opportunities, prices of electricity, and destination and route choices of plug-in hybrid electric vehicles (PHEVs) at regional transportation and power transmission networks coupled by PHEVs. The modeling framework is then applied to determine an optimal allocation of a given number of public charging stations among metropolitan areas in the region to maximize social welfare associated with the coupled networks. The allocation model is formulated as a mathematical program with complementarity constraints, and is solved by an active-set algorithm. Numerical examples are presented to demonstrate the models and offer insights on the equilibrium of the coupled transportation and power networks, and optimally allocating resource for public charging infrastructure.

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Proceedings ArticleDOI

Stationary Spatial Charging Demand Distribution for Commercial Electric Vehicles in Urban Area

TL;DR: An analytical model is developed to profile the stationary spatial distribution of charging demand for any given fleet of commercial EVs, which serves as the necessary input for planning the location of charging infrastructures.
Posted Content

Vehicle Powertrain Connected Route Optimization for Conventional, Hybrid and Plug-in Electric Vehicles.

TL;DR: It is shown that using sensory information from vehicle powertrain for route optimization plays an important role to minimize travel costs.
Journal ArticleDOI

On Dynamic Network Equilibrium of a Coupled Power and Transportation Network

TL;DR: In this paper , a dynamic traffic model with point queues is proposed to describe the spatial and temporal evolution of traffic flows that is congruent with established user equilibrium choices, and the queues formed at charging stations are, for the first time, modeled by a point queue.
Proceedings ArticleDOI

Data-driven planning of plug-in hybrid electric taxi charging stations in urban environments: A case in the central area of Beijing

TL;DR: A mixed integer linear programming (MILP) model is formulated to plan PHET charging stations in the central area of Beijing and takes into account the service radius of charging stations, charging demand satisfaction and rational occupation rates of chargers.
Journal ArticleDOI

Integrated electric logistics vehicle recharging station location–routing problem with mixed backhauls and recharging strategies

TL;DR: In this article , an integrated electric logistics vehicle recharging station location-routing problem with mixed backhauls and recharging strategies is formulated as a time-discretized multicommodity network flow optimization model based on a space-time-state-energy representation network.
References
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Book

Nonlinear Programming

Book

Mathematical Programs with Equilibrium Constraints

TL;DR: Results in the book are expected to have significant impacts in such disciplines as engineering design, economics and game equilibria, and transportation planning, within all of which MPEC has a central role to play in the modelling of many practical problems.
Journal ArticleDOI

Foundations of dynamic traffic assignment : the past, the present and the future

TL;DR: This opening paper will summarize the current understanding of DTA, review the existing literature, make the connection to the approaches presented in this special issue, and attempt to hypothesize about the future.
Journal ArticleDOI

CONOPT—A Large-Scale GRG Code

TL;DR: It is concluded that GRG codes can be very competitive with other codes for large-scale nonlinear programming from both an efficiency and a reliability point of view.
Journal ArticleDOI

Mathematical Programs with Complementarity Constraints: Stationarity, Optimality, and Sensitivity

TL;DR: Several stationarity concepts, based on a piecewise smooth formulation, are presented and compared and Fiacco-McCormick type second order optimality conditions and an extension of the stability results of Robinson and Kojima are presented.
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