Assessing dynamic wireless charging infrastructure using real-time traffic data: a Simulation of Urban Mobility approach

Akıskalıoğlu E., Atmaca M.

INTERNATIONAL JOURNAL OF LOW CARBON TECHNOLOGIES, sa.21, ss.1-18, 2026 (SCI-Expanded, Scopus)

Özet

Dynamic wireless charging (DWC) offers a pathway to extend electric vehicle range without expanding stationary charging infrastructure, yet rigorous deployment guidance for urban campus networks remains scarce. This work presents a simulation framework integrating Istanbul Metropolitan Municipality real-time traffic detector data with the Simulation of Urban Mobility (SUMO) microscopic simulator to evaluate two DWC deployment strategies on Marmara University’s Göztepe Campus. The principal novelties are: (i) a reproducible pipeline from municipal loop-detector measurements through DFRouter to SUMO; (ii) a quantitative comparison of full-coverage [3.81 km, 182 strips, capital expenditure (CAPEX) ≈ €1.29 M] vs selective deployment (0.39 km, 5 strips, CAPEX ≈ €0.134 M); and (iii) vehicle- and system-level energy, range, and cost analysis with sensitivity runs from 10 to 200 kW. Using a peak-hour scenario (8 March 2024, 12 p.m., 103 vehicles), selective deployment of five data-driven corridors delivers 1.94 kWh—~13% of full-road coverage energy (15.22 kWh)—at 10% of the installation cost, yielding a cost-per-delivered-kWh ratio 9.6 times more favorable. Per-vehicle range increases reach up to 341.7%; however, these are window-relative indicators over the 600-s simulation window and should not be interpreted as fleet-level performance guarantees. Sensitivity analysis shows that at 200 kW infrastructure power, vehicle-side Battery Management System saturation at 150 kW caps effective transfer, emphasizing that infrastructure upgrades must be codesigned with fleet specifications. All results assume the 600-s simulation window and simplified SUMO charging model; reproducibility scripts are provided.