Deploying battery swap stations for shared electric vehicles using trajectory data

Abstract

• Proposing a novel Station-to-Point (S2P) Battery Swap Mode. • Extracting battery swap demand of Shared Electric Vehicles (SEVs) from trajectory data. • A data-driven approach to deploying and operating Battery Swap Stations (BSSs). • Setting up 53 scenarios to test the approach and the sensitivity of key parameters. • The desired quality of service was influential to the deployment and operation of BSSs. This paper proposed a novel Station-to-Point (S2P) Battery Swap Mode for Shared Electric Vehicles (SEVs), under which Battery Swap Stations (BSSs) have dedicated delivery vehicles transporting new/used batteries between BSSs and Battery Swapping Demand (BSD) points. We further developed a data-driven BSS location optimization model and day-to-day operation strategy, using a one-month GPS trajectory dataset containing 514 actual SEVs in Beijing. We set up 53 scenarios to test the model. In the baseline scenario, we found that the SEV fleet needed 15 BSSs, and each SEV, on average, needed 1.202 batteries and 0.031 delivery vehicles with the centralized management strategy applied. Through “what-if” scenarios, we found that the key parameters Q (the coverage rate of BSD points), R (the service radius of a BSS), and AADT (the acceptable average delay time) were influential to the outputs of interest.