• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2017년도 제56차 하계학술대회논문집 25권2호
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• pp.239-240
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• 2017

에너지 신산업 8대 산업 중 핵심 산업인 전기자동차에 대하여 전문가들의 2025년 전기자동차 600조원의 시장 형성 예측을 하고 있고 2017년 국토부는 전기자동차 전용 번호판 도입을 추진하고 있다. 이에 따른 전기자동차 수요와 공급 증가에 따른 사용자들의 증가를 예측하고 사용자 요구사항을 충족시켜줄 수 있는 홈페이지를 미리구축함으로 충전소의 길 찾기를 좀 더 쉽게 알 수 있기를 위하여 해당 프로젝트를 진행하게 되었다.

• 전력전자학회논문지
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• 제22권5호
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• pp.414-422
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• 2017

This paper reviews the core technical trends of TESLA EV Motors. The TESLA EV Motors is explosively popular with a considerable recharging infrastructure, a wide 17-[inch] touch display, 417 [HP], and 378 [km] going distance. The object of this study analyzes the body appearance, motor and, battery cooling system, battery arrangement, battery management system, super charging station, power electronics, and induction motor.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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• pp.731-732
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• 2022

최근 탄소중립을 위한 친환경 자동차 권장 정책으로 인해서 전기차와 수소차 이용자가 증가하고 있다. 그러나 기존 내연기관차, 또는 전기차와 비교했을 때 수소차에 대한 인프라는 매우 부족한 현실이다. 따라서 출장이나 여행 등 기존 주거지를 벗어나는 상황에서는 수소차 충전소를 찾는데 어려움을 겪을 수 있다. 본 논문에서는 수소차 이용자들에게 편의를 제공하기 위해서 전국의 수소차 충전소의 위치를 구글 지도에서 보여주고 충전소의 사진과 전화번호를 쉽게 확인할 수 있는 애플리케이션을 설계 및 구현하였다.

• 에너지공학
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• 제29권3호
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• pp.64-73
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• 2020

본 논문은 전기 자동차의 충·방전 장소를 고려한 도시별 일부하 곡선 산출을 위한 방법론을 제시하였다. 즉, 특정 도시에서 전기 자동차 충·방전에 의해 발생되는 부하량이 전력 그리드에 미치는 영향을 용이하게 파악할 수 있도록 전기 자동차의 충·방전 장소를 고려한 도시별 일부하 곡선 산출 알고리즘을 제시하였다. 구체적으로는 PEVs 점유율 시나리오에 따라 도시내의 전기차 충·방전 장소별 즉, 직장 및 가정에 대하여 오전에 직장에 도착한 전기차에 대해 그리드에 방전을 그리고 오후에 가정에 도착한 전기차에 대해 충전을 시행하는 가정을 수립한 후 오전 직장 도착 차량운행 특성과 SMP 요금제를 동시에 반영한 PEVs 방전 전력을 산정하였다. 그리고 오후에 가정 도착 차량운행 특성과 TOU 요금제를 동시에 고려한 PEVs충전 전략에 대해 각각 서울시를 대상으로 충·방전 전력 형태별로 일부하곡선을 산출한 후 기존 부하와 합산하여 그리드에 미치는 영향 평가를 비교 분석하였다.

• 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.

• 한국수소및신에너지학회논문집
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• 제29권1호
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• pp.32-40
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• 2018

There has been an measuring errors between state of charge (SOC; kg) value and mass flow meter (MFM) value in dispenser for hydrogen refueling station. Finally, we observed average 15.5% weight difference between these two values and the MFM readings show a 15.5% higher readout of the SOC readings. Each car was charged with average 2.66 kg of hydrogen fuel during this period. In the initial charging of the day shows less measuring value than the final charging with the maximum 0.038 kg times number of filling. There is no effects of atmosphere temperature change for the hydrogen filled weight during one full year such as January's cold winters and August's hot summers.

• 한국생산제조학회지
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• 제20권3호
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• pp.335-341
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• 2011

In this paper, we proposed an automatic packing mechanism of one station concept for fastener objects where the continuous work is performed in a finite space. The proposed packing mechanism is composed of supporting frame, feeding supply, air shower device, clamping/opening device, batch charging device, sealing/cutting device and supply adjusting device. And, these mechanisms have been modularized through mechanical, dynamical, structural and fluid optimized design using the SMO(SimDesigner Motion) analysis module. Also, the virtual prototype was carried out using the 3-D CAD program. The packing process is consisted performed in the order of feeding, clamping, bottom sealing, cutting, opening, object charging, closing and the upper sealing. And the time of these cycles were designed to be completed in 15-20 seconds. This packing mechanism will be created as a prototype in the near future. In addition, it will be applied to the production scenes after going through a field test for the validation of performance.

• 전기학회논문지
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• 제67권3호
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• pp.343-351
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• 2018

Renewable energy sources has drawn considerable attention as clean energy sources because of changing public attitudes regarding greenhouse gas and fine dust. Recently, in this respect, the government provides the drivers of electric vehicles with various benefits such as tax reduction, financial incentives and free parking from the public to the private sector. Plug-in electric vehicles are the most common in the private sector. Otherwise, different types of battery-based buses in the public sector are being developed, and there are three main types of charging: plug-in, battery swapping and wireless. Therefore, economic assessment of charging types in each bus route is required in order to facilitate the use of battery-based buses instead of the existing CNG buses. In this paper, net present value(NPV) and B/C ratio of charging types are evaluated in consideration of the bus schedule, the cost of charging station, and the life cycle of battery, etc. per each bus route. In case study, main bus routes in Daegu City are simulated with the proposed evaluation method to validate the eco-bus project.

• 한국수소및신에너지학회논문집
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• 제32권3호
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• pp.163-171
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• 2021

Securing energy sources is a key element essential to economic and industrial development in modern society, and research on renewable energy and hydrogen energy is now actively carried out. This research was conducted through experiments and analytical methods on the hydrogen filling process in the hydrogen storage tank of the hydrogen charging station. When low-temperature, high-pressure hydrogen was injected into a high-pressure tanks where hydrogen is charged, the theoretical method was used to analyze the changes in temperature and pressure inside the high-pressure tanks, the amount of hydrogen charge, and the charging time. The analysis was conducted in the initial vacuum state, called the First Cycle, and when the residual pressure was present inside the tanks, called the Second Cycle. As a result of the analysis, the highest temperature inside the tanks in the First Cycle of the high-pressure tank increased to 442.11 K, the temperature measured through the experiment was 441.77 K, the Second Cycle increased to 397.12 K, and the temperature measured through the experiment was 398 K. The results obtained through experimentation and analysis differ within ±1%. The results of this study will be useful for future hydrogen energy research and hydrogen charging station.

• 산업경영시스템학회지
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• 제44권2호
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• pp.1-14
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• 2021

It is highly challenging to measure the efficiency of electric vehicle charging stations (EVCSs) because factors affecting operational characteristics of EVCSs are time-varying in practice. For the efficiency measurement, environmental factors around the EVCSs can be considered because such factors affect charging behaviors of electric vehicle drivers, resulting in variations of accessibility and attractiveness for the EVCSs. Considering dynamics of the factors, this paper examines the technical efficiency of 622 electric vehicle charging stations in Seoul using data envelopment analysis (DEA). The DEA is formulated as a multi-period output-oriented constant return to scale model. Five inputs including floating population, number of nearby EVCSs, average distance of nearby EVCSs, traffic volume and traffic congestion are considered and the charging frequency of EVCSs is used as the output. The result of efficiency measurement shows that not many EVCSs has most of charging demand at certain periods of time, while the others are facing with anemic charging demand. Tobit regression analyses show that the traffic congestion negatively affects the efficiency of EVCSs, while the traffic volume and the number of nearby EVCSs are positive factors improving the efficiency around EVCSs. We draw some notable characteristics of efficient EVCSs by comparing means of the inputs related to the groups classified by K-means clustering algorithm. This analysis presents that efficient EVCSs can be generally characterized with the high number of nearby EVCSs and low level of the traffic congestion.