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3253. A two-phase stochastic approach for sizing and scheduling of battery swapping and charging of electric vehicles

Invited abstract in session MD-55: Airline Applications II, stream Transportation.

Monday, 14:30-16:00
Room: S02 (building: 101)

Authors (first author is the speaker)

1. Simon van Oosterom
Faculty of Aerospace Engineering, Delft University of Technology
2. Mihaela Mitici
Utrecht University

Abstract

The development of Electric Vehicles (EVs) has exceeded all expectations.
At the current pace, opportunities will open up for electric freight transport and aviation. For these industries with tight schedules, however, long battery recharge times will be problematic. The ability to swap depleted batteries may provide an alternative. Swaps can be done quickly, and the EV can be deployed while the used battery recharges at a depot.

This paper studies scheduling operations of battery swapping and charging for a EV fleet that needs to perform a tight schedule. We propose a stochastic recourse optimization model to size the infrastructure: the charging power and the number of spare batteries. This aims to minimize the infrastructure and charging costs, given a stochastic amount of traffic to be fulfilled. The charging costs are determined in the second stage of the model, which optimizes the charging operations of the vehicles, given a day's traffic schedule. We expand on current studies by leveraging the knowledge of the traffic schedule, and by allowing for preemptive charging.

We show our method for an airline operating small electric aircraft, where swaps are done at hub airports. We use the domestic network of Norway's Widerøe Airlines of 43 airports and 56000 annual flights. We show that 4400 kW in power supply and 23 spare batteries are required for electrification. Furthermore, we show that this grants high scheduling flexibility with a smaller infrastructure.

Keywords

Status: accepted

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