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Sustainability 2018, 10(5), 1324; https://doi.org/10.3390/su10051324

Reserving Charging Decision-Making Model and Route Plan for Electric Vehicles Considering Information of Traffic and Charging Station

College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
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Received: 27 March 2018 / Revised: 21 April 2018 / Accepted: 22 April 2018 / Published: 25 April 2018
(This article belongs to the Section Sustainable Transportation)
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Abstract

With the advance of battery energy technology, electric vehicles (EV) are catching more and more attention. One of the influencing factors of electric vehicles large-scale application is the availability of charging stations and convenience of charging. It is important to investigate how to make reserving charging strategies and ensure electric vehicles are charged with shorter time and lower charging expense whenever charging request is proposed. This paper proposes a reserving charging decision-making model for electric vehicles that move to certain destinations and need charging services in consideration of traffic conditions and available charging resources at the charging stations. Besides, the interactive mechanism is described to show how the reserving charging system works, as well as the rolling records-based credit mechanism where extra charges from EV is considered to hedge default behavior. With the objectives of minimizing driving time and minimizing charging expenses, an optimization model with two objective functions is formulated. Then the optimizations are solved by a K shortest paths algorithm based on a weighted directed graph, where the time and distance factors are respectively treated as weights of corresponding edges of transportation networks. Case studies show the effectiveness and validity of the proposed route plan and reserving charging decision-making model. View Full-Text
Keywords: electric vehicle; charging reservation; route plan; weighted directed graph; K shortest paths algorithm electric vehicle; charging reservation; route plan; weighted directed graph; K shortest paths algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Liu, H.; Yin, W.; Yuan, X.; Niu, M. Reserving Charging Decision-Making Model and Route Plan for Electric Vehicles Considering Information of Traffic and Charging Station. Sustainability 2018, 10, 1324.

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