Abstract
| Original language | English |
|---|---|
| Article number | 1902.04392 |
| Number of pages | 60 |
| Journal | arXiv.org,e-Print Archive, Mathematics |
| Publication status | Published - 12 Feb 2019 |
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Complete resource pooling of a load balancing policy for a network of battery swapping stations. / Sloothaak, Fiona; Cruise, James R.; Shneer, Seva; Vlasiou, Maria; Zwart, Bert.
In: arXiv.org,e-Print Archive, Mathematics, 12.02.2019.Research output: Contribution to journal › Article › Academic
TY - JOUR
T1 - Complete resource pooling of a load balancing policy for a network of battery swapping stations
AU - Sloothaak, Fiona
AU - Cruise, James R.
AU - Shneer, Seva
AU - Vlasiou, Maria
AU - Zwart, Bert
PY - 2019/2/12
Y1 - 2019/2/12
N2 - 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 (EV) 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.
AB - 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 (EV) 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.
KW - math.PR
M3 - Article
JO - arXiv.org,e-Print Archive, Mathematics
JF - arXiv.org,e-Print Archive, Mathematics
M1 - 1902.04392
ER -