{"title":"Electric vehicle charging on the go via unmanned aerial vehicle: Optimal charging policy","authors":"Byeongmok Kim, Seokcheon Lee","doi":"10.1016/j.cie.2025.111005","DOIUrl":null,"url":null,"abstract":"<div><div>Electric vehicles (EVs) are becoming increasingly popular due to their eco-friendly characteristics, such as lower greenhouse gas emissions. However, the lack of sufficient EV charging infrastructure continues to cause range anxiety for drivers. To help address this, the study introduces a novel EV charging concept that uses an unmanned aerial vehicle (UAV) to charge EVs on-the-go, supplementing current charging solutions. We begin by defining the “electric vehicle charging on the go” (EVCG) problem as a UAV routing problem aimed at minimising total costs while fulfilling stochastic EV charging needs. A dynamic programming equation is then developed to solve the EVCG problem, and the UAV’s optimal charging policy is derived. Finally, we propose future research directions for EVCG applications.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 111005"},"PeriodicalIF":6.7000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835225001512","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Electric vehicles (EVs) are becoming increasingly popular due to their eco-friendly characteristics, such as lower greenhouse gas emissions. However, the lack of sufficient EV charging infrastructure continues to cause range anxiety for drivers. To help address this, the study introduces a novel EV charging concept that uses an unmanned aerial vehicle (UAV) to charge EVs on-the-go, supplementing current charging solutions. We begin by defining the “electric vehicle charging on the go” (EVCG) problem as a UAV routing problem aimed at minimising total costs while fulfilling stochastic EV charging needs. A dynamic programming equation is then developed to solve the EVCG problem, and the UAV’s optimal charging policy is derived. Finally, we propose future research directions for EVCG applications.
期刊介绍:
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.