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Autonomous Electric Vehicle Fleet Charging in Cities: Optimal Utility Estimates and Monte Carlo Simulations
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics. (Built Environment Energy Systems Group)ORCID iD: 0000-0003-0051-4098
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics. (Built Environment Energy Systems Group)ORCID iD: 0000-0001-6292-0695
2017 (English)In: 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the electricity use of completely autonomous electric vehicle (AEV) fleets in cities. A set of principles for autonomous vehicle fleets in cities is defined, mathematical relations for optimal utility conditions are derived and a Monte Carlo simulation model is developed based on the assumption of central charging. Results show, for example, that accommodation fraction, passenger travel fraction, effective electric fuel economy and mean charging power are essentially independent of battery capacity, given that the initial battery capacity is sufficient for one pickup, delivery and return for charging round trip.

Place, publisher, year, edition, pages
IEEE, 2017.
Series
IEEE PES Innovative Smart Grid Technologies Conference Europe, ISSN 2165-4816
National Category
Infrastructure Engineering
Identifiers
URN: urn:nbn:se:uu:diva-340599DOI: 10.1109/ISGTEurope.2017.8260108ISI: 000428016500017ISBN: 978-1-5386-1953-7 (electronic)OAI: oai:DiVA.org:uu-340599DiVA, id: diva2:1179410
Conference
IEEE Innovative Smart Grids Technology Conference (ISGT), 26-29 Sept. 2017, Torino, Italy
Available from: 2018-02-01 Created: 2018-02-01 Last updated: 2018-08-08Bibliographically approved

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Munkhammar, JoakimShepero, Mahmoud

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