• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.632-639
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• 2018

Recently, a policy has been enforced to supply Plug-in Electric Vehicles (PEVs) but this may require reinforcement of the power system depending on its clustering because PEVs are charged directly from power systems. On the other hand, as the reinforcement of power system is limited by time and budget, it is important to supply the charging demand of PEVs efficiently using the existing power systems to increase the diffusion of PEVs. This paper establishes a charging schedule for Plug-in Electric Vehicles (PEVs) considering the power system constraints. For this, the required amount and time of the charging demand for an individual PEV was modeled to integrate into power systems based on the driving pattern and charging tariff of PEV. Furthermore, the charging schedule of PEVs was established to meet the power system constraints by calculating the operating conditions of the power systems with PEVs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1575-1580
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• 2017

The electric vehicle business is important because it can reduce 30% of the fine dust generated in the metropolitan area and it can solve the air pollution problem by replacing automobile exhaust gas from an internal combustion engine with eco-friendly electric cars. For the construction of the electric charging station infrastructure, which is the core part of the electric car business, we focus to select the optimal location of the electric car charging station in Seoul. The goal of this paper is to utilize and analyze the traffic statistics of T-Map navigation users data and Seoul Metropolitan Transportation Policy Department to deploy the electric cars charging station with optimal location to increase the efficiency. In this paper, the proposed algorithm is composed of two parts of electric charging station selection. First, we analyze real traffic statistics and area. Second, we utilize T-Map navigation data distribution. To select optimal electric charging station location, we apply these two algorithms.

• Journal of Information Technology Services
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• v.19 no.3
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• pp.89-100
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• 2020

The wireless power transmission market is growing at an average annual rate of 51.5% from $ 16.4 billion in 2015 to $ 131.1 billion in 2020. However, there are limitations to commercialization due to the development of standards and technologies. Thus, this study identified trends in standards and regulations by market and by country. The research collected and filtered a total of 69,488 worldwide wireless power transfer patents by June 2019 and extracted a total of 28,555 patents. Based on this, technology development status was analyzed and predicted. In this study, long-distance and short-range technology development with high technology development difficulty and low technology development ratio could lead to growth of the entire wireless charging market. It is analyzed that investment and policy preparation are necessary to secure source technology for long-distance / near technology development than China, Japan and Europe.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.73-74
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• 2010

In this paper, Around the world for electric vehicles are gaining attention and market trends to domestic and foreign policy. Current charging method developed techniques are discussed and is proposed for domestic situations and charging ways. The electric vehicle is emerging as a result of the energy efficiency issue, the combined battery and capacitor switching is proposed to use to offset the disadvantages of each method to improve the energy efficiency offers.

• Information Systems Review
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• v.18 no.4
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• pp.1-15
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• 2016

Electric cars are expected to increase quality of life by reducing air pollution and to contribute to economic growth by creating new businesses. However, electric car adoption has lagged and has not satisfied public expectation. One of the primary reasons for this outcome is the slow charging speed or inconvenience of charging a battery. Under the insufficient diffusion of electric cars, pushing business entities to construct charging facilities is undesirable for a policy maker to increase the adoption rate because of cost and management issues. This study adopts the design science methodology to interpret the problem of deploying electric car charging stations in the view of information systems. A trip planning algorithm is suggested on the basis of the theory of range anxiety. We investigate issues related to the current charging locations using data from drivers' car navigation devices. We also review its applicability to trip planning to obtain insights.

• The KIPS Transactions:PartA
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• v.13A no.1 s.98
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• pp.35-44
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• 2006

Grid accounting model is necessary to support the demand and supply of id resource. Most grid accounting systems currently in use intrude upon site autonomy by modifying local accounting systems or calculate the cost of grid service without regard to site price policy. In this paper we propose and design Grid accounting model based on site price policy. This model assures autonomy of sites participating in gird computing and be able to actively cope with diverse billing services. Also this proposed model enables to provide RUS to Grid entities by transforming basic accounting information into GGF-UR format and allows this entities to exchange resource usage information. In this paper, proposed Grid accounting model enables sites to have autonomy of them and is evaluated for business model to enforce elaborate charging policy, compared with other systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2823-2829
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• 2011

All of the government, private enterprises, and local governments are promoting the spread of electric vehicles to reduce carbon emissions depending on the green growth policy of the government that began in 2009. Due to this background, the prevalence of electric cars is being spread. However, the efficient management and operation through the exchanging information between electric vehicles and charging infrastructure, as well as the development of electric vehicles are essential to disseminate them. In this paper, we present a service framework for exchange of information between electric vehicles and charging infrastructure, and propose a communication method to meet it. To do this, we propose the most appropriate communication method through the performance evaluation by identifying and comparing the existing wireless communication methods can be applied to exchange information between electronic vehicles and EV charging infrastructure.

• Journal of Digital Convergence
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• v.11 no.7
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• pp.141-148
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• 2013

Smart grid can two-way communication using ICT(Information & Communication Technology). Also, smart grid can supply to dynamic power that grafted to electric vehicle can activate to electric vehicle charging infrastructure and used to storage battery of home. Storage battery of home can resale to power provider. These electric vehicle charging infrastructure locate fixed on home, apartment, building, etc charging infrastructure that used fluid on user. If don't authentication for user of fluid user use to charging infrastructure, electric charging service can occurred to illegal use, electric charges and leakgage of electric information. In this paper, we propose smartcard and dynamic ID based user authentication scheme for used secure to electric vehicle service in smart grid environment.

• Journal of the Korea Society for Simulation
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• v.8 no.3
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• pp.67-76
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• 1999

The study of the optimization of operating policy of AGV system, which is used in many factory automation environments has been proceeded by many researchers. The major operating policy of AGV system consists of routing and scheduling policy. AGV routing is composed with collision avoidance and minimal cost path find algorithm. To allocate jobs to the AGV system, AGV scheduling has to include AGV selection rules, parking rules, and recharging rules. Also in these rules, the key time parameters such as processing time of the device, loading/unloading time and charging time should be considered. In this research, we compare and analyze several operating policies of multiple loop-multiple AGV system by making a computer model and simulating it to present an appropriate operating policy.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.129-140
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• 2018

In this study, we analyzed the electric vehicle (EV) purchasing behavior with market segmentation in Seoul using the binary logit model. For the model estimation, the experimental design of SP survey generated 24 scenarios with purchase price, charging station availability, and driving range of EVs. The results of market segmentation analysis indicated that the owners of subcompact and compact size cars were primarily affected by the purchasing price while those of mid and full size cars were more sensitive to the charging station availability. By housing type, the charging station availability was the most important factor for the residents of apartment while the purchase price was the most important factor to choose the EVs. These results presented that the EV supply strategy of the automobile manufacturer should be diversified according to the marketing target and the expansion of the public charging infrastructure should be the top priority in the government policy.