• Journal of Electrical Engineering and Technology
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• 제12권5호
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• pp.1789-1797
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• 2017

It is necessary to charge electric vehicles in order to drive them. Thus, it is essential to have electric vehicle charging facilities in place. In the case of a household battery charger, the power similar to that consumed by a household with a basic contract power of 3kW is consumed. In addition, many consumers who own an electric vehicle will charge their vehicles at the same time. The simultaneous charging of electric vehicles will cause the load to increase, which then will lead to the imbalance of supply and demand in the distribution system. Thus, a smart charging scheme for electric vehicles is an essential element. In this paper, simulated conditions were set up using real data relating to Korea in order to design a smart charging technique suitable for the actual situation. The simulated conditions were used to present a smart charging technique for electric vehicles that disperses electric vehicles being charged simultaneously. The EVs and Smart Charging Technique are modeled using the Electro Magnetic Transients Program (EMTP).

• 전기학회논문지
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• 제62권8호
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• pp.1138-1143
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• 2013

In this paper, we propose a smartphone application based on a wireless fidelity(WiFi) in order to control the charging of electric vehicle(EV) and monitor the charging status together with the vehicle history information. The driver obtains much information on vehicle status through a smartphone application which communicates with the electric vehicle supply equipment(EVSE) management server while the EV also communicates with the EVSE for the authentification through controller area network(CAN). We also implement the simulator for the EV charging control system to verify the functions of the proposed application where the simulator consists of an EV model, an EVSE, and a smartphone. It is shown by the simulator that the proposed smartphone application allows the driver to control and to monitor the charging process of an EV conveniently and, moreover, it can provide the driver with vehicle information stored in the EVSE management server.

• 한국인터넷방송통신학회논문지
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• 제12권5호
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• pp.31-37
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• 2012

본 논문에서는 무선 센서 네트워크를 활용하여 스마트그리드와 전기자동차의 충전 시스템 연계과정을 효과적으로 파악하고, 안티아일랜딩 기능을 적용하여 전기자동차 충전계통과 연계된 스마트그리드 모니터링 시스템을 제안한다. 스마트그리드 모니터링 시스템은 지그비(ZigBee)통신을 통해 무선으로 전력 모니터링 데이터를 수신하며, 별도의 물리적 연결 없이 원격 제어를 통해 전기자동차의 충전제어가 가능하다. 또한, 그리드 내 독립전원에 아일랜딩 현상이 발생하면, 아일랜딩 현상이 발생한 독립전원을 즉시 감지하여 차단하고 다른 독립전원으로 대체하여 그리드의 안정적인 운용을 하도록 하며, 실험을 통하여 스마트그리드 모니터링 시스템의 성능을 확인한다.

• 전기전자학회논문지
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• 제22권2호
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• pp.369-374
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• 2018

본 논문에서는 공용 사용목적으로 설치된 전기자동차 충전설비에 다수의 전기자동차가 충전시작과 종료시간이 정해진 조건에서 전력피크 제어와 전기자동차 충전 비용을 최소화 할 수 있는 전기자동차 충전시스템 제어방법을 제안하였다. 전기자동차 충전 과금정책으로 사용되는 계시별요금제기반에서 전기자동차 충전요금 절감할 수 있는 방법으로 전기자동차 배터리 충전상태를 제약조건으로 설정하고 선형계획법 알고리즘을 이용하여 전기자동차 충전시스템을 제어하는 방법을 사용하였다. 컴퓨터 시뮬레이션을 수행 하였을 때 기존 전기자동차 충전시스템보다 충전요금이 절감됨을 확인할 수 있었다.

• Journal of Electrical Engineering and Technology
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• 제12권1호
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• pp.451-458
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• 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.

• 한국산학기술학회논문지
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• 제18권10호
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• pp.669-674
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• 2017

화석 연료의 고갈 및 환경오염의 증가로 인하여 전기 에너지를 사용하는 전기 자동차가 차세대 교통수단으로 주목받고 있으며 전 세계적으로 인기를 끌고 있다. 전기 자동차의 보급률 및 관심이 높아짐에 따라 V2G (Vehicle to Grid) 및 IT 기술을 이용한 충전 인프라에 대한 연구가 활발히 진행되고 있다. 특히, 전기 자동차의 안정적인 충전 및 부하 관리를 위하여 그리드 네트워크와의 통신은 가장 중요한 요소이다. 그러나 기존의 중앙 집중형 인프라 구조의 경우 제어 메시지 요청이 증가할 경우 느린 응답속도로 인하여 충전 인프라가 효율적으로 작동하지 못하는 문제점들이 존재한다. 본 논문에서는 분산형 클라우드 컴퓨팅 기술을 무선 기지국에 적용하여 충전 인프라에 혼잡을 줄이고 지연시간을 줄이기 위해 MEC (Mobile Edge Computing)를 활용한 새로운 전기자동차 충전 인프라 구조를 제안한다. 성능 평가를 통해 본 논문에서 제안한 저 지연시간을 가지는 충전 인프라가 기존에 존재하는 충전 인프라보다 효율적으로 전력 피크 상황에 대처함을 확인하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제9권2호
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• pp.1-10
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• 2017

The high costs of electric vehicle supply equipment (EVSE) and installation are currently a stumbling block to the proliferation of electric vehicles (EVs). The cost-effective solutions are needed to support the expansion of charging infrastructure. In this paper, we develope EV charging system based on the big data analysis of the power consumption patterns. The developed EV charging system is consisted of the smart EV outlet, gateways, powergates, the big data management system, and mobile applications. The smart EV outlet is designed to low costs of equipment and installation by replacing the existing 220V outlet. We can connect the smart EV outlet to household appliances. Z-wave technology is used in the smart EV outlet to provide the EV power usage to users using Apps. The smart EV outlet provides 220V EV charging and therefore, we can restore vehicle driving range during overnight and work hours.

• 전기학회논문지
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• 제66권12호
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• pp.1866-1872
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• 2017

This paper presents the design of in-wheel type Switched Reluctance Motor (SRM) which can be used as both traction motor and power pickup device in a wireless charging system of electric vehicles. The SRM acts as a traction drive in driving mode and a power receiver in charging mode to avoid any additional weights. Double stator axial field SRM is used due to its structure that can be mounted inside the wheel. The charging circuit is integrated with the asymmetric converter and phase windings of SRM, reducing the cost and size of the system. Magnetic resonance is implemented to increase the efficiency. Simulations done in Maxwell and Simplorer verify the effectiveness of the proposed system.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.1855-1860
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• 2010

Electric vehicles have reached a new level of development with introductions by Chrysler, Ford, Honda and Toyota. Today's charging technology includes conductive and inductive charging systems. There are three standardized charging levels: Level 1: charging can be done from a standard, grounded AC 120V, 3-prong outlet available in all homes; Level 2: charging is at AC 240V, 40 amp charging station with special consumer features to make it easy and convenient to plug in and charge EVs at home or at an EV charging station; Level 3: a high-powered charging "fast charge" technology currently under development that will provide a charge in less than 15 minutes. The incoming AC power is converted to DC and stored in the vehicle's batteries. In this paper, we investigated the application of urban railway DC electric power for electric car charging system.

• 산업경영시스템학회지
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• 제43권3호
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• pp.53-60
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• 2020

Evaluating the operational efficiency of electric vehicle charging stations (EVCSs) is important to understand charging network evolution and the charging behavior of electric vehicle users. However, aggregation of efficiency performance metrics poses a significant challenge to practitioners and researchers. In general, the operational efficiency of EVCSs can be measured as a complicated function of various factors with multiple criteria. Such a complex aspect of managing EVCSs becomes one of the challenging issues to measure their operational efficiency. Considering the difficulty in the efficiency measurement, this paper suggests a way to measure the operational efficiency of EVCSs based on data envelopment analysis (DEA). The DEA model is formulated as constant returns of output-oriented model with five types of inputs, four of them are the numbers of floating population and nearby charging stations, distance of nearby charging stations and traffic volume as desirable inputs and the other is the traffic speed in congestion as undesirable one. Meanwhile, the output is given by the charging frequency of EVCSs in a day. Using real-world data obtained from reliable sources, we suggest operational efficiencies of EVCSs in Seoul and discuss implications on the development of electric vehicle charging network. The result of efficiency measurement shows that most of EVCSs in Seoul are inefficient, while some districts (Nowon-gu, Dongdaemun-gu, Dongjak-gu, Songpa-gu, Guro-gu) have relatively more efficient EVCSs than the others.