Minimum cost path problem for Plug-in Hybrid Electric Vehicles

被引:48
|
作者
Arslan, Okan [1 ]
Yildiz, Baris [1 ]
Karasan, Oya Ekin [1 ]
机构
[1] Bilkent Univ, Dept Ind Engn, TR-06800 Ankara, Turkey
关键词
Dynamic programming; Integer programming; Routing; Long-distance trips; Energy management; DECISION-SUPPORT-SYSTEM; ROUTING PROBLEM; TIME WINDOWS; FUEL; LOCATION; MODEL; STATIONS; IMPACTS; BUYERS; CAR;
D O I
10.1016/j.tre.2015.05.011
中图分类号
F [经济];
学科分类号
02 ;
摘要
We introduce a practically important and theoretically challenging problem: finding the minimum cost path for PHEVs in a road network with refueling and charging stations. We show that this problem is NP-complete and present a mixed integer quadratically constrained formulation, a discrete approximation dynamic programming heuristic, and a shortest path heuristic as solution methodologies. Practical applications of the problem in transportation and logistics, considering specifically the long-distance trips, are discussed in detail. Through extensive computational experiments, significant insights are provided. In addition to the charging infrastructure availability, a driver's stopping tolerance arises as another critical factor affecting the transportation costs. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:123 / 141
页数:19
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