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Assessment of future EV charging infrastructure scenarios for long-distance transport in Sweden

Marquez-Fernandez, Francisco J. LU orcid ; Bischoff, Joschka LU ; Domingues-Olavarria, Gabriel LU and Alakula, Mats LU orcid (2022) In IEEE Transactions on Transportation Electrification 8(1). p.615-626
Abstract

Over the last two decades, electrification has gained importance as a means to decarbonise the transport sector. As the number of Electric Vehicles (EVs) increases, it is important to consider broader system aspects as well, especially when deciding the type, coverage, size and location of the charging infrastructure required. This article proposes a new approach using agent-based simulations to assess the impact that different system parameters have on the total energy consumption, the charging infrastructure needs or the overall system cost for all electromobility related technologies. To demonstrate the capabilities of this approach, five potential future scenarios for charging infrastructure deployment are analyzed, assuming that... (More)

Over the last two decades, electrification has gained importance as a means to decarbonise the transport sector. As the number of Electric Vehicles (EVs) increases, it is important to consider broader system aspects as well, especially when deciding the type, coverage, size and location of the charging infrastructure required. This article proposes a new approach using agent-based simulations to assess the impact that different system parameters have on the total energy consumption, the charging infrastructure needs or the overall system cost for all electromobility related technologies. To demonstrate the capabilities of this approach, five potential future scenarios for charging infrastructure deployment are analyzed, assuming that all long-distance transport in Sweden is electrified. For each of the scenarios the total energy consumed and the charging infrastructure needs are assessed. Finally, the cost associated with the electromobility related technology in each scenario is estimated. The results show that the lowest system cost corresponds to a scenario with Electric Road Systems (ERS) widely available to all vehicle types, mostly due to the potential reduction of their battery pack. However, such scenario may incur in a higher overall energy consumption, if the drivers decide to alter their routes to use the ERS, thus avoiding stopping for charging.

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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Batteries, charging infrastructure, Charging stations, cost analysis, dynamic charging, Electric potential, Electric Road Systems, Electric vehicles, Energy consumption, Erbium, Roads, Vehicle dynamics
in
IEEE Transactions on Transportation Electrification
volume
8
issue
1
pages
615 - 626
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85102633064
ISSN
2332-7782
DOI
10.1109/TTE.2021.3065144
language
English
LU publication?
yes
id
ce3d37e0-b03a-49a2-b03d-edad71d3d2f5
date added to LUP
2021-03-29 08:41:24
date last changed
2022-11-23 21:09:09
@article{ce3d37e0-b03a-49a2-b03d-edad71d3d2f5,
  abstract     = {{<p>Over the last two decades, electrification has gained importance as a means to decarbonise the transport sector. As the number of Electric Vehicles (EVs) increases, it is important to consider broader system aspects as well, especially when deciding the type, coverage, size and location of the charging infrastructure required. This article proposes a new approach using agent-based simulations to assess the impact that different system parameters have on the total energy consumption, the charging infrastructure needs or the overall system cost for all electromobility related technologies. To demonstrate the capabilities of this approach, five potential future scenarios for charging infrastructure deployment are analyzed, assuming that all long-distance transport in Sweden is electrified. For each of the scenarios the total energy consumed and the charging infrastructure needs are assessed. Finally, the cost associated with the electromobility related technology in each scenario is estimated. The results show that the lowest system cost corresponds to a scenario with Electric Road Systems (ERS) widely available to all vehicle types, mostly due to the potential reduction of their battery pack. However, such scenario may incur in a higher overall energy consumption, if the drivers decide to alter their routes to use the ERS, thus avoiding stopping for charging.</p>}},
  author       = {{Marquez-Fernandez, Francisco J. and Bischoff, Joschka and Domingues-Olavarria, Gabriel and Alakula, Mats}},
  issn         = {{2332-7782}},
  keywords     = {{Batteries; charging infrastructure; Charging stations; cost analysis; dynamic charging; Electric potential; Electric Road Systems; Electric vehicles; Energy consumption; Erbium; Roads; Vehicle dynamics}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{615--626}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Transportation Electrification}},
  title        = {{Assessment of future EV charging infrastructure scenarios for long-distance transport in Sweden}},
  url          = {{http://dx.doi.org/10.1109/TTE.2021.3065144}},
  doi          = {{10.1109/TTE.2021.3065144}},
  volume       = {{8}},
  year         = {{2022}},
}