Sorawit Yaovasuwanchai. Simulation-based method for locating the charging stations for electric vehicles on the national highway of Thailand. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2018.
Simulation-based method for locating the charging stations for electric vehicles on the national highway of Thailand
Abstract:
Charging stations (CSs) are required for electric vehicles (EVs) in order to recharge the battery. EVs cannot
travel in the long journey if there is no CS available on the highways. In this study, we present a conceptual model
for identifying the location of CSs on the National Highway No.1 (NH1) also known as Phahonyothin Road. This model
was simulated with ARENA 14.0. There are 53 survey points (SPs) on NH1. But in this paper, only from the survey point
No.8 (SP-8) to the survey point No.10 (SP-10) is considered and divided into 2 intervals (from SP-8 to SP-9, and from
SP-9 to SP-10) We forecasted and estimated the number of EVs travelling through SP-8 to SP-10 for the year 2036 by
using the historical data. We also consider the inflow and outflow of EVs that enter or exit NH1 via all intersections.
From SP-8 to SP-10, there are 159 actual intersections. We estimated the inflow and outflow from these intersections
using the historical data of population density of all districts that are passed by NH1 during these 2 intervals. To
simplify our simulation model, we created 25 imaginary points that represents 159 intersections. We ran the
experiments on our simulation model with 2 charging behaviors of EV drivers against two different scenarios: (1) if one
CS is set up, and (2) if two CSs are set up. The result indicated that the charging behaviors of EV driver will have an
impact on the appropriate locations of CSs. Our simulation model can be used as a fundamental for governments to
construct CSs during more detailed analysis.
King Mongkut's University of Technology North Bangkok. Central Library