Optimization models for electric vehicle service operations: A literature review

被引:159
作者
Shen, Zuo-Jun Max [1 ,3 ]
Feng, Bo [2 ]
Mao, Chao [3 ]
Ran, Lun [4 ]
机构
[1] Univ Calif Berkeley, Dept Ind Engn & Operat Res, Berkeley, CA 94720 USA
[2] Soochow Univ, Sch Business, Suzhou 215021, Peoples R China
[3] Univ Calif Berkeley, Dept Civil & Environm Engn, Berkeley, CA 94720 USA
[4] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Electric vehicle; Service operations; Optimization models and algorithms; Literature review; PLUG-IN HYBRID; CHARGING STATION LOCATIONS; BATTERY SWAPPING STATIONS; ALTERNATIVE-FUEL VEHICLE; SUPPLY CHAIN ANALYSIS; ROUTING PROBLEM; OPTIMAL-DEPLOYMENT; INFRASTRUCTURE; NETWORK; ADOPTION;
D O I
10.1016/j.trb.2019.08.006
中图分类号
F [经济];
学科分类号
02 ;
摘要
Electric vehicles (EVs) are widely considered to be a solution to the problems of increasing carbon emissions and dependence on fossil fuels. However, the adoption of EVs remains sluggish due to range anxiety, long charging times, and inconvenient and insufficient charging infrastructure. Various problems with EV service operations should be addressed to overcome these challenges. This study reviews the state-of-the-art mathematical modeling-based literature on EV operations management. The literature is classified according to recurring themes, such as EV charging infrastructure planning, EV charging operations, and public policy and business models. In each theme, typical optimization models and algorithms proposed in previous studies are surveyed. The review concludes with a discussion of several possible questions for future research on EV service operations management. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:462 / 477
页数:16
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