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Conference Paper: Energy loss minimization for vehicular energy network routing

TitleEnergy loss minimization for vehicular energy network routing
Authors
KeywordsElectric vehicles
Renewable energy
Routing
Vehicular energy network
Issue Date2016
PublisherACM.
Citation
The 2016 Workshop on Electric Vehicle Systems, Data, and Applications (EV-SYS 2016), Waterloo, ON., Canada, 21-24 June 2016. In Conference Proceedings, 2016, p. 1-6 How to Cite?
AbstractRecently, vehicular energy network (VEN) has been proposed to transport energy over a large geographical area by means of electric vehicles (EVs) over a road network. In the near future, an abundance of EVs, plentiful generation of renewables, and mature wireless energy transfer and vehicular communication technologies will expedite the realization of VEN. VEN routing refers to the establishment of energy paths, which are composed of segments of vehicular routes, to transmit energy from a source to a destination. In this paper, we study the fundamental energy loss minimization problem, which studies routing energy for a particular source-destination pair along possible energy paths such that the total energy loss is minimized while guaranteeing a given transferable amount of energy. We first discuss how to construct energy paths for a particular source-destination pair, followed by some analytical results. Then we formulate the problem based on the established energy paths as a linear programming problem, and offer solutions. We test the performance with a real-world traffic network. This paper lays the foundations of VEN routing. © 2016 ACM.
Persistent Identifierhttp://hdl.handle.net/10722/229784
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLam, AYS-
dc.contributor.authorLi, VOK-
dc.date.accessioned2016-08-23T14:13:15Z-
dc.date.available2016-08-23T14:13:15Z-
dc.date.issued2016-
dc.identifier.citationThe 2016 Workshop on Electric Vehicle Systems, Data, and Applications (EV-SYS 2016), Waterloo, ON., Canada, 21-24 June 2016. In Conference Proceedings, 2016, p. 1-6-
dc.identifier.isbn978-1-4503-4420-3-
dc.identifier.urihttp://hdl.handle.net/10722/229784-
dc.description.abstractRecently, vehicular energy network (VEN) has been proposed to transport energy over a large geographical area by means of electric vehicles (EVs) over a road network. In the near future, an abundance of EVs, plentiful generation of renewables, and mature wireless energy transfer and vehicular communication technologies will expedite the realization of VEN. VEN routing refers to the establishment of energy paths, which are composed of segments of vehicular routes, to transmit energy from a source to a destination. In this paper, we study the fundamental energy loss minimization problem, which studies routing energy for a particular source-destination pair along possible energy paths such that the total energy loss is minimized while guaranteeing a given transferable amount of energy. We first discuss how to construct energy paths for a particular source-destination pair, followed by some analytical results. Then we formulate the problem based on the established energy paths as a linear programming problem, and offer solutions. We test the performance with a real-world traffic network. This paper lays the foundations of VEN routing. © 2016 ACM.-
dc.languageeng-
dc.publisherACM.-
dc.relation.ispartofProceedings of the Workshop on Electric Vehicle Systems, Data, and Applications, EV-SYS 2016-
dc.subjectElectric vehicles-
dc.subjectRenewable energy-
dc.subjectRouting-
dc.subjectVehicular energy network-
dc.titleEnergy loss minimization for vehicular energy network routing-
dc.typeConference_Paper-
dc.identifier.emailLam, AYS: ayslam@eee.hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLam, AYS=rp02083-
dc.identifier.authorityLi, VOK=rp00150-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1145/2939953.2939958-
dc.identifier.scopuseid_2-s2.0-84979601516-
dc.identifier.hkuros261759-
dc.identifier.hkuros265236-
dc.identifier.spage1-
dc.identifier.epage6-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 160909-

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