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Smarter Charging : Power Allocation Accounting for Travel Time of Electric Vehicle Drivers

Title data

Fridgen, Gilbert ; Thimmel, Markus ; Weibelzahl, Martin ; Wolf, Linda:
Smarter Charging : Power Allocation Accounting for Travel Time of Electric Vehicle Drivers.
In: Transportation Research Part D: Transport and Environment. Vol. 97 (2021) . - 102916.
ISSN 1361-9209
DOI: https://doi.org/10.1016/j.trd.2021.102916

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information

Abstract in another language

Growing electric vehicle (EV) dissemination will increase charging infrastructure installation at home. Similar daily routines are associated with high peak loads due to simultaneous EV charging. However, predominantly residential power transmission is not designed for such high loads, yielding charging bottlenecks and restricting future charging at home. Addressing such bottleneck situations and including the EV driver perspective, we introduce a power allocation mechanism that considers the total travel time of the upcoming trip, consisting of actual driving time and time required for charging externally (including the detour to public charging facilities). Assuming that travel time generally negatively correlates with EV driver utility, our optimization model maximizes the resulting utility of EV drivers. Avoiding unnecessary external charging stops due to an insufficient state of charge at the time of departure, our approach generates travel time savings that increase overall EV driver utility. We illustrate our approach using exemplary cases.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Electric mobility; Smart charging; Power allocation; Utility; Travel time
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Profile Fields > Emerging Fields > Energy Research and Energy Technology
Research Institutions
Research Institutions > Central research institutes > Bayreuth Research Center for Modeling and Simulation - MODUS
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Faculties
Faculties > Faculty of Law, Business and Economics
Profile Fields
Profile Fields > Emerging Fields
Research Institutions > Central research institutes
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 07 Sep 2021 07:21
Last Modified: 11 Jul 2023 09:37
URI: https://eref.uni-bayreuth.de/id/eprint/66964