Journal ArticleDOI
Optimal deployment of public charging stations for plug-in hybrid electric vehicles
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.read more
Citations
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Journal ArticleDOI
The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations
TL;DR: This work introduces the electric vehicle-routing problem with time windows and recharging stations E-VRPTW and presents a hybrid heuristic that combines a variable neighborhood search algorithm with a tabu search heuristic, which incorporates the possibility of recharging at any of the available stations using an appropriate recharging scheme.
Posted Content
The Electric Vehicle Routing Problem with Time Windows and Recharging Stations
Abstract: Driven by new laws and regulations concerning the emission of greenhouse gases, carriers are starting to use electric vehicles for last-mile deliveries. The limited battery capacities of these vehicles necessitate visits to recharging stations during delivery tours of industry-typical length, which have to be considered in the route planning to avoid inefficient vehicle routes with long detours. We introduce the electric vehicle-routing problem with time windows and recharging stations E-VRPTW, which incorporates the possibility of recharging at any of the available stations using an appropriate recharging scheme. Furthermore, we consider limited vehicle freight capacities as well as customer time windows, which are the most important constraints in real-world logistics applications. As a solution method, we present a hybrid heuristic that combines a variable neighborhood search algorithm with a tabu search heuristic. Tests performed on newly designed instances for the E-VRPTW as well as on benchmark instances of related problems demonstrate the high performance of the heuristic proposed as well as the positive effect of the hybridization.
Journal ArticleDOI
Charging infrastructure planning for promoting battery electric vehicles: An activity-based approach using multiday travel data
TL;DR: In this article, a case study using GPS-based travel survey data collected in the greater Seattle metropolitan area shows that electric miles and trips could be significantly increased by installing public chargers at popular destinations, with a reasonable infrastructure investment.
Journal ArticleDOI
Routing a mixed fleet of electric and conventional vehicles
Dominik Goeke,Michael Schneider +1 more
TL;DR: In this article, the authors proposed an Adaptive Large Neighborhood Search algorithm that is enhanced by a local search for intensification to optimize the routing of a mixed fleet of electric commercial vehicles and conventional internal combustion commercial vehicles (ICCVs).
Journal ArticleDOI
Electric vehicles’ energy consumption measurement and estimation
TL;DR: In this paper, the authors presented a system which can collect in-use EV data and vehicle driving data and analyzed both EV performance and driver behaviors to measure and estimate EVs' energy consumption.
References
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Refueling behavior of automobile drivers
Ryuichi Kitamura,Daniel Sperling +1 more
TL;DR: In this article, the relationship between drivers' attributes and their refueling behavior is examined using the results of driver surveys conducted at several refueling outlets in northern California. But the results show that refueling behaviour is only weakly correlated with demographic and socioeconomic descriptors of the driver.
Proceedings Article
Optimization for allocating BEV recharging stations in urban areas by using hierarchical clustering
Journal ArticleDOI
Online routing and battery reservations for electric vehicles with swappable batteries
TL;DR: In this article, a Markov chance-decision process is used to minimize the average delay of the all vehicles by occasionally detouring them to the benefit of future ones, and the optimal policy is approximated using the approximate dynamic programming technique of temporal differencing with linear models.
Proceedings ArticleDOI
Locating PHEV Exchange Stations in V2G
TL;DR: To model this problem, a two-stage stochastic program is developed to optimally locate the stations prior to the realization of battery demands, loads, and generation capacity of renewable power sources.
Journal ArticleDOI
Robust Approach to Discrete Network Designs with Demand Uncertainty
TL;DR: A robust counterpart of deterministic discrete network design is formulated as a mathematical program with complementarity constraints under the Wardropian user equilibrium conditions and empirically demonstrates that the algorithm is effective and has the potential to solve realistic problems.