Analyzing Coincident Factors of Public Electric Vehicles in Ho Chi Minh City: A Monte Carlo Approach
VERSION OF RECORD ONLINE: 09/09/2025
Corressponding author's email:
trongnghia@hcmute.edu.vnDOI:
https://doi.org/10.54644/jte.2025.1967Keywords:
Coincident Factor, Public Electric Vehic, Monte Carlo Simulation, Define Scenarios, Charging InfrastructureAbstract
This study presents the method of calculating the coincident factor (CF) for public electric vehicles (PEVs) using Monte Carlo Simulation (MCS). The paper focuses on predicting future charging demand for electric buses (EBs) and electric taxis (ETs) in the greater Ho Chi Minh City (HCMC) metropolitan area, which, since July 1, 2025, has officially expanded to include Binh Duong and Ba Ria–Vung Tau provinces. The projection is based on population growth and public electric vehicle (PEV) penetration scenarios. It builds three scenarios for the years 2030, 2035, and 2040 to estimate the number of PEVs and their charging behaviours. The simulation runs 1,000 times for each vehicle type and scenario to calculate the CF. Results show that while the total number of PEVs increases over time, the CF slightly decreases, indicating that charging loads become more distributed across the day. For example, the CF for ETs changes from 0.26 in 2030 to 0.24 in 2040, while for EBs it stays around 0.35. These findings highlight the need for better charging management strategies and infrastructure planning to reduce grid overload risks and improve power system stability, especially for the newly enlarged urban area.
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