An integrated framework on autonomous-EV charging and autonomous valet parking (AVP) management system

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dc.contributor.authorZhang, Xu
dc.contributor.authorXia, Xu
dc.contributor.authorLiu, Shuohan
dc.contributor.authorCao, Yue
dc.contributor.authorLi, June
dc.contributor.authorGuo, Weisi
dc.date.accessioned2022-01-28T14:33:07Z
dc.date.available2022-01-28T14:33:07Z
dc.date.issued2022-01-20
dc.description.abstractAutonomous vehicles (AVs) transform traditional commuting by decreasing congestion, improving road safety, and naturally integrate better with electric controls for flexible implementation of autonomous driving technologies. Indeed, electric-powered AVs or autonomous electric vehicles (AEVs) are benefiting each other in many aspects. While autonomy brings great efficiency in driving as well as battery use, EVs require less maintenance and drastically cut fuel costs. With AVs, a pivotal concern is within the realm of long-range Autonomous Valet Parking (LAVP), such as diverse customer demands on parking (or drop-off / pick-up) for various journey planning. On the other hand, electric-powered AVs are typically with limited cruising range, and locating convenient charging services are also among the major impediments. As of yet, recent studies have started to investigate EV charging and LAVP in isolation as they rarely consider a joint optimization on user trip and energy refueling. Rather, we target in this work the integration of vehicle charging with autonomy in the sense of a systemic approach. Specifically, we propose an integrated AEV charging and LAVP management scheme, to resolve critical decision-making on convenient charging and parking management upon customer requirements during their journeys. The proposed scheme jointly considers charging reservations as well as parking duration at car parks (CPs), aiming to enable accurate predictions on future charging (and parking) states at CPs. Results show the advantage of our proposal over benchmarks, in terms of enhanced customer experiences in traveling period, as well as charging performances at both AEV and CP sides. Particularly, effective load balancing can be achieved across the network regarding the amount of charged as well as parked vehicles.en_UK
dc.identifier.citationZhang X, Xia X, Liu S, et al., (2022) An integrated framework on autonomous-EV charging and autonomous valet parking (AVP) management system. IEEE Transactions on Transportation Electrification, Volume 8, Number 2, June 2022, pp. 2836-2852en_UK
dc.identifier.issn2332-7782
dc.identifier.urihttps://doi.org/10.1109/TTE.2022.3145198
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17520
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectAutonomous vehicleen_UK
dc.subjectAutonomous valet parkingen_UK
dc.subjectCharging managementen_UK
dc.subjectTrip planningen_UK
dc.titleAn integrated framework on autonomous-EV charging and autonomous valet parking (AVP) management systemen_UK
dc.typeArticleen_UK

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