Benefits of Multi-Destination Travel Planning for Electric Vehicles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F18%3A00329303" target="_blank" >RIV/68407700:21230/18:00329303 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8569385" target="_blank" >https://ieeexplore.ieee.org/document/8569385</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ITSC.2018.8569385" target="_blank" >10.1109/ITSC.2018.8569385</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Benefits of Multi-Destination Travel Planning for Electric Vehicles

Popis výsledku v původním jazyce

A major challenge for large-scale deployment of electrical vehicles (EVs) is charging. In general, the number of EVs that can be charged can be increased either by physically expanding charging capacity or by better exploiting existing charging capacity. In this paper, we focus on the latter, exploring how advanced EV travel planning systems can be used to better align where and when EV charging happens with where and when charging capacity is available. Our novel travel planner enables EV users to plan their trips and EV charging in a way that meets their needs yet reflects charging availability. The core innovation of our approach is that we take a broader, multidestination perspective to EV travel planning - this gives our planning system more flexibility and scope for deciding when and where charging should happen and, consequently, enables a better alignment between the need for charging implied by the EV travel and the availability of charging. We evaluate our approach on an agent-based simulation of several medium-scale scenarios based on real-world data. The results confirm the benefits of our multi-destination approach, especially in scenarios in which charging service providers support upfront booking of charging slots.

Název v anglickém jazyce

Benefits of Multi-Destination Travel Planning for Electric Vehicles

Popis výsledku anglicky

A major challenge for large-scale deployment of electrical vehicles (EVs) is charging. In general, the number of EVs that can be charged can be increased either by physically expanding charging capacity or by better exploiting existing charging capacity. In this paper, we focus on the latter, exploring how advanced EV travel planning systems can be used to better align where and when EV charging happens with where and when charging capacity is available. Our novel travel planner enables EV users to plan their trips and EV charging in a way that meets their needs yet reflects charging availability. The core innovation of our approach is that we take a broader, multidestination perspective to EV travel planning - this gives our planning system more flexibility and scope for deciding when and where charging should happen and, consequently, enables a better alignment between the need for charging implied by the EV travel and the availability of charging. We evaluate our approach on an agent-based simulation of several medium-scale scenarios based on real-world data. The results confirm the benefits of our multi-destination approach, especially in scenarios in which charging service providers support upfront booking of charging slots.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2018 21st International Conference on Intelligent Transportation Systems (ITSC)

ISBN

978-1-7281-0323-5

ISSN

—

e-ISSN

2153-0017

Počet stran výsledku

6

Strana od-do

327-332

Název nakladatele

IEEE Intelligent Transportation Systems Society

Místo vydání

—

Místo konání akce

Maui

Datum konání akce

4. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000457881300051