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

Fiona Sloothaak, James Cruise, Seva Shneer, Maria Vlasiou, Bert Zwart

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
JournalQueueing Systems
Early online date1 Jun 2021
DOIs
Publication statusE-pub ahead of print - 1 Jun 2021

Keywords

  • Battery swapping
  • Energy
  • Markov Process
  • Stochastic model applications

ASJC Scopus subject areas

  • Statistics and Probability
  • Computer Science Applications
  • Management Science and Operations Research
  • Computational Theory and Mathematics

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