• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.12 no.4
• /
• pp.56-65
• /
• 2013

The word is endeavoring to reduce greenhouse gases with the sense of crisis caused by the continuous climate change. As a method to decrease greenhouse gases, motors driven by fossil fuels are being substituted by EV in the field of transportation. Meanwhile, for the spread of EV, charging installations are divided into general charging type and quick charging type. Also, charging amount and time are main factors to decide charging pay. But, because the opportunity coast for the charging time varies depending on the private situations, it is very important to understand exact phenomenon for the spread of EV charging installations and charging pay policy. Therefore this paper suggested the choice model of charging installation and time value in various situations by using Logit model to make clear the relationship between a choice of charging installation, charging time and willingness to pay for charge.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.5
• /
• pp.1027-1037
• /
• 2012

With response to the critical issue of global warming, Smart Grid system has been extensively investigated as next efficient power grid system. Domestically, Korean is trying to expand the usage of Electric Vehicles (EVs) and the charging infrastructure in order to replace the current transportation using fossil fuels holding 20% of overall CO2 emission. The EVs charging infrastructures are combined with IT technologies to build intelligent environments but have considerable number of cyber security issues because of its inherent nature of the technologies. This work not only provides logical architecture of EV charging infrastructures with security threats based on them but also analyses security requirements against security threats in order to overcome the adversarial activities to Smart Grid.

• Journal of Korean Society of Rural Planning
• /
• v.21 no.1
• /
• pp.19-28
• /
• 2015

As environmental concerns including climate change drive the strong regulations for car exhaust emissions, electric vehicles attract the public eye. The purpose of this study is to identify rural areas vulnerable for charging infrastructures based on the spatial distributions of the current gas stations and provide the target dissemination rates for promoting electric cars. In addition, we develop various scenarios for finding optimal way to expand the charging infrastructures through the administrative districts data including 11,677 gas stations, the number of whole national gas stations. Gas stations for charging infrastructures are randomly selected using the Monte Carlo Simulation (MCS) method. Evaluation criteria for vulnerability assessment include five considering the characteristic of rural areas. The optimal penetration rate is determined to 21% in rural areas considering dissemination efficiency. To reduce the vulnerability, the charging systems should be strategically installed in rural areas considering geographical characteristics and regional EV demands.