Online Charging and Routing of Electric Vehicles in Stochastic Time-Varying Networks

This paper formulates the problem of online charging and routing of a single electric vehicle in a network with stochastic and time-varying travel times. Public charging stations, with nonidentical electricity prices and charging rates, exist through the network. Upon arrival at each node, the traveler learns the travel time on all downstream arcs and the waiting time at the charging station, if one is available. The traveler aims to minimize the expected generalized cost—formulated as a weighted sum of travel time and charging cost—by considering the current state of the vehicle and availability of information in the future. The paper also discusses an offline algorithm by which all routing and charging decisions are made a priori. The numerical results demonstrate that cost savings of the online policy, compared with that for the offline algorithm, is more significant in larger networks and that the number of charging stations and vehicle efficiency rate have a significant impact on those savings.

Record URL:
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309460446
Authors:
- Jafari, Ehsan
- Boyles, Stephen D
Publication Date: 2017

Language

English

Media Info

Media Type: Digital/other
Features: Figures; References;
Pagination: pp 61–70
Monograph Title: Network Modeling
Serial:
- Transportation Research Record: Journal of the Transportation Research Board
- Issue Number: 2667
- Publisher: Transportation Research Board
- ISSN: 0361-1981

Subject/Index Terms

TRT Terms: Decision making; Electric vehicle charging; Markov processes; Mathematical models; Routing; Stochastic processes
Subject Areas: Energy; Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

Accession Number: 01632152
Record Type: Publication
ISBN: 9780309460446
Report/Paper Numbers: 17-02166
Files: TRIS, TRB, ATRI
Created Date: Apr 5 2017 9:57AM