Agent-Based Investigation of Charger Queues and Utilization of Public Chargers for Electric Long-Haul Trucks

Johannes Karlsson and Anders Grauers ()
Additional contact information
Johannes Karlsson: Department of Electrical Engineering, Chalmers University of Technology, SE 412 96 Gothenburg, Sweden
Anders Grauers: Department of Electrical Engineering, Chalmers University of Technology, SE 412 96 Gothenburg, Sweden

Energies, 2023, vol. 16, issue 12, 1-25

Abstract: This paper investigates the charging needs and charger utilisation of a system of battery electric trucks and their public fast chargers, along the highway between the Swedish cities of Helsingborg and Stockholm, in a possible future scenario in which all trucks are battery electric. The system is investigated via an agent-based model which simulates a typical day with current levels of truck traffic on the road. The traffic flow is based on hourly truck flow data during a day and the annual flow of trucks. The findings indicate major potential for a well-functioning system of public chargers for trucks, with high utilisation, few queuing problems at charging stations, cheap public fast charging and a robust response to queues caused by peaks or increases in the traffic flow. The number of 900 kW chargers along the road needed to achieve this has been estimated at 140, and the utilisation factor for the chargers is predicted to be 30%.

Keywords: battery electric truck; battery electric vehicle; charger utilisation; charging station; charge point operator; long-haul truck; agent-based model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/12/4704/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/12/4704/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:12:p:4704-:d:1171010

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().