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Dispatchable Battery Swapping System with Centralized Charging and Renewable Energy Generation

Wallander, Edvin LU and Marquez Fernandez, Francisco J. LU orcid (2024) p.1-6
Abstract
The effort to electrify society has in recent years resulted in major changes in the transportation sector. Charging time remains a challenge in several applications such as transportation and heavy machinery. A proposed solution that shortens the energy replenishment time and adds flexibility in loading the grid is to battery-swapping: exchanging the depleted battery for a fully charged one. In some cases, it can be beneficial to perform the battery-swapping operations at a separate location from where charging infrastructure is available, for example, in heavy machinery systems or remote road swapping stations. This paper presents a genetic algorithm that can plan and evaluate the logistics and charging behavior of such a system. A case... (More)
The effort to electrify society has in recent years resulted in major changes in the transportation sector. Charging time remains a challenge in several applications such as transportation and heavy machinery. A proposed solution that shortens the energy replenishment time and adds flexibility in loading the grid is to battery-swapping: exchanging the depleted battery for a fully charged one. In some cases, it can be beneficial to perform the battery-swapping operations at a separate location from where charging infrastructure is available, for example, in heavy machinery systems or remote road swapping stations. This paper presents a genetic algorithm that can plan and evaluate the logistics and charging behavior of such a system. A case study is conducted and the effect of key system characteristics such as available battery stock and transportation distance is analyzed. (Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
modelling, charging scheme, genetic algorithm, power systems
host publication
2024 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
pages
1 - 6
external identifiers
  • scopus:85216933800
ISBN
979-8-3503-7391-2
979-8-3503-7390-5
DOI
10.1109/ESARS-ITEC60450.2024.10819821
language
English
LU publication?
yes
id
02478e4e-d1fd-4ad7-bbb4-7931fe73181b
date added to LUP
2025-01-13 13:55:12
date last changed
2025-07-02 10:26:34
@inproceedings{02478e4e-d1fd-4ad7-bbb4-7931fe73181b,
  abstract     = {{The effort to electrify society has in recent years resulted in major changes in the transportation sector. Charging time remains a challenge in several applications such as transportation and heavy machinery. A proposed solution that shortens the energy replenishment time and adds flexibility in loading the grid is to battery-swapping: exchanging the depleted battery for a fully charged one. In some cases, it can be beneficial to perform the battery-swapping operations at a separate location from where charging infrastructure is available, for example, in heavy machinery systems or remote road swapping stations. This paper presents a genetic algorithm that can plan and evaluate the logistics and charging behavior of such a system. A case study is conducted and the effect of key system characteristics such as available battery stock and transportation distance is analyzed.}},
  author       = {{Wallander, Edvin and Marquez Fernandez, Francisco J.}},
  booktitle    = {{2024 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)}},
  isbn         = {{979-8-3503-7391-2}},
  keywords     = {{modelling; charging scheme; genetic algorithm; power systems}},
  language     = {{eng}},
  pages        = {{1--6}},
  title        = {{Dispatchable Battery Swapping System with Centralized Charging and Renewable Energy Generation}},
  url          = {{http://dx.doi.org/10.1109/ESARS-ITEC60450.2024.10819821}},
  doi          = {{10.1109/ESARS-ITEC60450.2024.10819821}},
  year         = {{2024}},
}