Evaluation of electric vehicle charging stations based on EV user behavior | |
| Author | Nat Amnouyporn |
| Call Number | AIT Thesis no.TE-21-04 |
| Subject(s) | Battery charging stations (Electric vehicles)--Thailand Electric vehicles |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Transportation Engineering |
| Publisher | Asian Institute of Technology |
| Abstract | Air pollution has occurred around the world, and transportation is one cause of the problem. Therefore, electric vehicles are one of the ways to reduce carbon dioxide emission. However, there are many researchers suggesting that the coverage of charging stations is significant for electric vehicles adoption. For Thailand, most of the charging stations are covered only in Bangkok, while the rest are too less. To support this growth of the market, this thesis is made to evaluate the serviceability of current and upcoming charging stations in Nonthaburi based on charging behavior of Thai users. The survey is conducted to investigate the charging behavior of electric vehicles users in terms of charging time, charging duration, and sensitivity. Next, the data will be used and simulated by VISSIM. The simulation will be conducted based on Nonthaburi province of Thailand with only the main streets. The electric vehicles will be created as the new type of vehicle, and mixed with other vehicles in the traffic flow. Moreover, the electric vehicles will have a state of charge (SoC) attribute which will be decreased according to the speed of the vehicles. Therefore, the electric vehicles will enter the network, and decide to access the charging stations when the SoC is lower than the threshold which was collected from the survey. The charging stations will be created as parking stations in the simulator and it will have the same parking lots as the real world with the charging attribute to charge the vehicle when they are in parked state according to the charging power per second of the charger, and the vehicle will go out from the parking lot when the desired SoC is reached. The traffic will be simulated to investigate the number of vehicles which use the service during peak periods, the occupancy rate to observe the congestion at the station, and the number of vehicles which decline from the parking. Therefore, the different EV penetration rate will be used to observe the different serviceability of the stations. |
| Year | 2022 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Transportation Engineering (TE) |
| Chairperson(s) | Kunnawee Kanitpong |
| Examination Committee(s) | Ampol Karoonsoontawong;Santoso, Djoen San |
| Scholarship Donor(s) | AIT Scholarships |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2022 |