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.
Original language | English |
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Title of 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 |
ISBN (Electronic) | 979-8-3503-7390-5 |
DOIs | |
Publication status | Published - 2024 |
Subject classification (UKÄ)
- Transport Systems and Logistics
Free keywords
- modelling
- charging scheme
- genetic algorithm
- power systems