• The Journal of Industrial Distribution & Business
• /
• v.15 no.3
• /
• pp.21-29
• /
• 2024

Purpose: Electronic vehicles (EV) consumption become more prevalent among Vietnamese consumers. This paper aims to empirically assess the determinants of EV purchase intention among Vietnamese consumers. The research findings are expected to promote the consumption of electric vehicles in Vietnam. Research design, data and methodology: The quantitative research approach employed the Exploratory Factor Analysis (EFA). The sample size includes 301 respodents. Research design unified Theory of Acceptance and Use of Technology (UTAUT) and UTAUT2. The data collection process employ the non-probability sampling. Questionaire survey consists of 24 questions given to respondents via Google Form link. Data is processed by SPSS version 20 software. Results: The results proposed 04 determinants of the intention to buy electric vehicles: Government Support, Environmental Concern, Price Value, and Performance. Conclusions: Theorectical implications and managerial implications are also discussed to promote the consumption of electronic vehicles in Vietnam. Besides, the findings show that Price value, Environmental Concern and Performance positively affect the purchase intention of EV among Vietnamese consumers. Remarkably, Government Support is proven to be an insignificant factor in EV purchase intention. The call for further research rely on the role of government support in order to promote EV consumption in Vietnam and other emerging markets worldwide.

• Design & Manufacturing
• /
• v.16 no.2
• /
• pp.13-19
• /
• 2022

Recently, electric vehicles are gaining popularity among many domestic and foreign users due to their eco-friendly advantages of reducing fine dust and environmental greenhouse gases. As the demand and supply of electric vehicles increase, the demand for electric vehicle charging infrastructure is also growing together. Many users are experiencing inconvenience due to poor charging infrastructure, which makes them hesitant to buy electric vehicles. Research on the user experience of chargers in apartment complexes, a common residential type in Korea, is being conducted somewhat, but research on the design of electric vehicle charging devices in public places is insufficient. The purpose of this research is to identify user requirements and complaints based on the product design of the electric vehicle charger in public places and propose a new electric vehicle product design concept that meets the requirements. The research method understood the charging base and status of electric vehicles in public places through literature research and examined and analyzed the characteristics and problems of product design cases that improved the charging problem of electric vehicles recently released in the market. It is intended to identify and analyze the problems of the charging device product design through user interviews, a qualitative research method, and based on this, it is intended to propose a user-centered product design concept that improves major complaints.

• Journal of Hydrogen and New Energy
• /
• v.30 no.4
• /
• pp.362-368
• /
• 2019

Electric vehicles contribute greatly to energy conservation, $CO_2$ reduction and energy security through high fuel economy and various electric sources. Electric cars have a huge economic impact. More than 14 million hybrid electric cars have been sold worldwide. More than 3 million plug-in electric vehicles have been sold worldwide. The environmental impact depends greatly on the amount of national power generation, and as the electric grid becomes more and more carbon-intensive, countries are increasingly adopting hybrid and electric vehicles. Electricity is expanding beyond cars. Electric buses, trucks, and ships have similar benefits.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.23 no.2
• /
• pp.161-168
• /
• 2015

Recently, due to various environmental problems such as global warming, increases of international oil prices, exhaustion of resource, a paradigm of world automobile market is rapidly changing from conventional vehicles using internal combustion engine to eco-friendly vehicles using electric power such as EV, HEV, PHEV and FCEV. Generally, in order to measure fuel consumption and pollutant emissions of cars, chassis dynamometer tests are performed on various driving cycles before actual driving test. There are many driving cycles for performance evaluation of conventional vehicles. However, there is a lack of researches on driving cycle for EV. In this study, the urban driving cycle for performance evaluation of electric vehicles was developed. This study is composed of two parts. In the part 1, the urban driving cycle 'GUDC-EV(Gwacheon-city Urban Driving Cycle for Electric Vehicles)' was developed by using driving data, which were obtained through actual driving experiment, and statistic analysis with chronological table. In this paper part 2, in order to verify the developed driving cycle GUDC-EV, virtual EV platforms were configured and simulations were performed with actual driving data using In addition, simulation results were compared with existing driving cycles such as FTP-72, NEDC and Japan 10-15.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.22 no.7
• /
• pp.117-126
• /
• 2014

Recently, due to various environmental problems such as global warming, increasing of international oil prices and exhaustion of resource, a paradigm of world automobile market is rapidly changing from vehicles using internal combustion engine to eco-friendly vehicles using electric power such as EV (Electric Vehicle), HEV (Hybrid Electric Vehicle), PHEV (Plug-in Hybrid electric Vehicle) and FCEV (Fuel Cell Electric Vehicle). There are many driving cycles for performance evaluation of conventional vehicles. However there is a lack of researches on driving cycle for EV. This study is composed of part 1 and part 2. In this paper part 1, in order to develop urban driving cycle for performance evaluation of electric vehicles, Gwacheon-city patrol route of police patrol car was selected. Actual driving test was performed using EV. The driving data such as velocity, time, GPS information etc. were recorded. GUDC-EV (Gwacheon-city Urban Driving Cycle for Electric Vehicles) including road gradient was developed through the results of analyzing recorded data. Reliability of the driving cycle development method was substantiated through comparison of electricity performance. In the second part of this study, the developed driving cycle was compared to simulation result of the existing urban driving cycle. Verification of the developed driving cycle for EV performance evaluation was described.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.26 no.10
• /
• pp.111-117
• /
• 2012

Electric vehicles (EVs) are the most promising alternative substitute to a significant amount of gasoline vehicles for climate friendly transportation. This paper conducted an EV consumer survey through the telephone for 200 residents living in apartments to predict the EV penetration level in the year 2020. The results of EV consumer survey revealed that EV will be penetrated to 10% of the total vehicles in rental apartments and to 23.6% of the total vehicles in apartments for sale(condominium) until 2020. High EV penetration level, however, will lead to an increase of power consumption and over loading of electrical installations. Integrating more electric vehicles, the capacity of transformer related in apartments should be checked to prevent the over loading of the transformer. This paper checked the possibility of over loading at transformer and suggested the load control system as one of the solutions to reduce the over loading of transformers in apartments. Also this paper reviewed other components that should be checked in the designing of EV recharging infrastructure in apartments.

• Journal of Practical Engineering Education
• /
• v.15 no.1
• /
• pp.53-61
• /
• 2023

The biggest core task in the new modern automobile industry lies in the development of eco-friendly vehicles with the goal of 0% emissions by the EU by 2035. Accordingly, in an era where the industry is rapidly changing with electric vehicles, education and training on EV electric vehicles are urgently needed. In this study, by developing a core EV powertrain system simulator excluding the chassis platform (body, tire, etc.) used identically to existing internal combustion locomotives, Understand the EV powertrain system, including mechanical engineering, electrical engineering, and electronic engineering applications. Through this course, we intend to use it as a medium to develop engineering and convergence development capabilities.

• Journal of Electrical Engineering and Technology
• /
• v.12 no.1
• /
• pp.451-458
• /
• 2017

An Electric Vehicle (EV) is operated with the electric energy of a battery in place of conventional fossil fuels. Thus, a suitable charging infrastructure must be provided to expand the use of electric vehicles. Because the battery of an EV must be charged to operate the EV, expanding the number of EVs will have a significant influence on the power supply and demand. Therefore, to maintain the balance of power supply and demand, it is important to be able to predict the numbers of charging EVs and monitor the events that occur in the distribution system. In this paper, we predict the hourly charging rate of electric vehicles using transformation matrix, which can describe all behaviors such as resting, charging, and driving of the EVs. Simulation with transformation matrix in a specific region provides statistical results using the Monte-Carlo Method.

• Journal of Electrical Engineering and Technology
• /
• v.13 no.2
• /
• pp.742-751
• /
• 2018

Electric vehicles (EV) are emerging as the future transportation vehicle reflecting their potential safe environmental advantages. Vehicle to Grid (V2G) system describes the hybrid system in which the EV can communicate with the utility grid and the energy flows with insignificant effect between the utility grid and the EV. The paper presents an optimal power control and energy management strategy for Plug-In Electric Vehicle (PEV) charging stations using Wind-PV-FC-Battery renewable energy sources. The energy management optimization is structured and solved using Multi-Objective Particle Swarm Optimization (MOPSO) to determine and distribute at each time step the charging power among all accessible vehicles. The Model-Based Predictive (MPC) control strategy is used to plan PEV charging energy to increase the utilization of the wind, the FC and solar energy, decrease power taken from the power grid, and fulfil the charging power requirement of all vehicles. Desired features for EV battery chargers such as the near unity power factor with negligible harmonics for the ac source, well-regulated charging current for the battery, maximum output power, high efficiency, and high reliability are fully confirmed by the proposed solution.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.65 no.12
• /
• pp.2197-2210
• /
• 2016

Recently, the trend of zero emissions has increased in automotive engineering because of environmental problems and regulations. Therefore, the development of battery electric vehicles (EVs), hybrid/plug-in hybrid electric vehicles (HEVs/PHEVs), and fuel cell electric vehicles (FCEVs) has been mainstreamed. In particular, for light-duty electric vehicles, improvement in electric motor performance is directly linked to driving range and driving performance. In this paper, using an improved design for the interior permanent magnet synchronous motor (IPMSM), the EV driving range for the light-duty EV was extended. In the electromagnetic design process, a 2D finite element method (FEM) was used. Furthermore, to consider mechanical stress, ANSYS Workbench was adopted. To conduct a vehicle simulation, the vehicle was modeled to include an electric motor model, energy storage model, and regenerative braking. From these results, using the advanced vehicle simulator (ADVISOR) based on MATLAB Simulink, a vehicle simulation was performed, and the effects of the improved design were described.