Complete resource pooling of a load-balancing policy for a network of battery swapping stations

Fiona Sloothaak (), James Cruise (), Seva Shneer (), Maria Vlasiou () and Bert Zwart ()
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Fiona Sloothaak: Eindhoven University of Technology
James Cruise: Riverlane
Seva Shneer: Heriot-Watt University
Maria Vlasiou: Eindhoven University of Technology
Bert Zwart: Eindhoven University of Technology

Queueing Systems: Theory and Applications, 2021, vol. 99, issue 1, No 3, 65-120

Abstract: Abstract To reduce carbon emission in the transportation sector, there is currently a steady move taking place to an electrified transportation system. This brings about various issues for which a promising solution involves the construction and operation of a battery swapping infrastructure rather than in-vehicle charging of batteries. In this paper, we study a closed Markovian queueing network that allows for spare batteries under a dynamic arrival policy. We propose a provisioning rule for the capacity levels and show that these lead to near-optimal resource utilization, while guaranteeing good quality-of-service levels for electric vehicle users. Key in the derivations is to prove a state-space collapse result, which in turn implies that performance levels are as good as if there would have been a single station with an aggregated number of resources, thus achieving complete resource pooling.

Keywords: Stochastic model applications; Battery swapping; Markov Process; Energy; 60K30; 90B15; 90B22 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11134-021-09707-w

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