Electric vehicle scheduling: State of the art, critical challenges, and future research opportunities

软件部署 调度(生产过程) 电动汽车 计算机科学 网格 工程类 运筹学 电力 运输工程 利用 可持续发展 汽车工程 电能 电网 电动汽车 电力系统 订单(交换) 系统工程 可持续运输
作者
Junayed Pasha,Bokang Li,Zeinab Elmi,Amir M. Fathollahi‐Fard,Yui‐yip Lau,Abdolreza Roshani,Tomoya Kawasaki,Maxim A. Dulebenets
出处
期刊:Journal of Industrial Information Integration [Elsevier BV]
卷期号:38: 100561-100561 被引量:50
标识
DOI:10.1016/j.jii.2024.100561
摘要

Electric vehicles can be perceived as a means to achieve carbon reduction, energy efficiency, and sustainable development of the transportation industry. Electric vehicle sales and deployment are increasing rapidly over time. However, electric vehicle deployment should be conducted in a planned manner, as electric vehicles have some limitations (e.g., limited driving range, refueling capacity, carrying capacity). The electric vehicle scheduling problem should be studied in detail to overcome such limitations, as it addresses them while optimizing the paths and timetables of electric vehicles. A number of studies have been dedicated towards electric vehicle scheduling. Yet, there is a lack of survey studies that cover a structural recapitulation of the electric vehicle scheduling efforts and provide a thorough overview of the existing tendencies, operations research aspects, problem-specific properties, and future research needs. For this reason, this study offers a structured survey of the existing research studies, which assessed electric vehicle scheduling. The collected studies are grouped into three categories for a detailed review, namely general electric vehicle scheduling, electric vehicle scheduling with power grid considerations, and electric vehicle scheduling with environmental considerations. A detailed description of the relevant studies along with a summary of findings and future research needs are provided for each of the study categories. In addition, a representative mathematical model is outlined for each study category in order to guide the future research. The outcomes of this research are expected to provide interesting and important insights to different groups of professionals in the field of electric vehicles.
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