Dispatchable Battery Swapping System with Centralized Charging and Renewable Energy Generation

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.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/esars-itec60450.2024.10819821
Citations
2
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.41
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article

Dispatchable Battery Swapping System with Centralized Charging and Renewable Energy Generation

Francisco J. Márquez-Fernández, E. Wallander
2 citations
Advanced Battery Technologies Research
0.41
article

Dispatchable Battery Swapping System with Centralized Charging and Renewable Energy Generation

Francisco J. Márquez-Fernández, E. Wallander
article en
2 citations

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.

Lund University (SE)
Affordable and clean energy
Openalex Percentile: Top 37%
Advanced Battery Technologies Research
0.41
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