• 한국소음진동공학회논문집
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• 제18권10호
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• pp.1073-1081
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• 2008

A centrifugal turbo blower of the fuel cell electric vehicle (FCEV) operates at very high speed above 30000 rpm in order to increase the pressure of the air, which supplied to a stack of FCEV, using rotation of its impeller blades. Vibration which originated from the blower is generated by unbalance of mechanical components, rotation of bearings and rotating asymmetry that rotate at high speed. The vibration is transmitted to receiving structure through vibration isolators and it can causes serious problems in the noise, vibration and harshness(NVH) performance. Thus, the study about reducing this kind of vibration is an important task. In this paper, dynamic analysis of the blower executed by numerical simulation and experimental analysis of the blower is also performed. Then, measured and simulated results are compared in order to validate of the simulation. Finally, reducing vibration through modifying mount stiffness is the main purpose of this paper.

• 한국태양에너지학회 논문집
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• 제32권spc3호
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• pp.289-294
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• 2012

In recent years, understanding the dynamics of DC distribution system has become critically important due mainly to the increasing needs for the interconnection of DC distributed generators and the (DC-based) electric vehicle (EV) charging systems. In this paper, the characteristics of the DC grid system connected to the compact proton exchange membrane fuel cell (PEMFC) has been studied. In particular, the voltage and current transient phenomena were measured by varying the load of the DC grid system. Also, the voltage and current ripple were measured at the different load conditions. Our experimental results clearly manifested that the study contributes to the establishment of fundamental method to characterize the small DC grid system including distributed generation.

• 한국정밀공학회지
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• 제29권12호
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• pp.1304-1312
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• 2012

According to the successful development of hybrid vehicle, hybridization of construction equipments like excavator, wheel loader, and backhoe etc., is gaining increasing attention. However, hybridization of excavator and commercial vehicle is very different. Therefore a specialized energy management control algorithm for excavator should be developed. In this paper, hybridization of excavators is investigated and a new energy management control algorithm is proposed. Four control parameters, i.e., lower baseline, upper baseline, idling generation speed, and idling generation torque, are newly introduced and a new operating principle using those four control parameters is proposed. The use of Genetic Algorithm for the optimization of the four control parameters from the view point of minimization of fuel consumption for standard excavating operation is suggested. In order to verify the proposed algorithm, dedicated simulation program of hybrid excavator was developed. The proposed algorithm is applied to a specific hydraulic excavator and 20.7% improvement of fuel consumption is achieved.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2013년도 추계학술대회 논문집
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• pp.17-18
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• 2013

본 논문에서는 자동차의 연료 절감을 위한 ISG(Idle Stop & Go) 시스템용 양방향 DC-DC 컨버터를 개발하였다. ISG 시스템 사양에 따라 효율 및 부피를 고려하여 3상 비절연 하프브리지 컨버터를 제안하였으며 또한 프리스케일사의 5643L MCU를 이용하여 디지털 제어기를 개발하였다. 1.8kW급 시작품을 통해 타당성을 검증하였으며 부피는 3.4L, 승 강압시 정격부하효율은 각각 95.1%, 95.5%이며 최고효율은 96.1%, 96.4%를 달성하였다.

• 한국가스학회지
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• 제22권5호
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• pp.18-23
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• 2018

본 연구에서는 CNG자동차 인젝터의 외부 환경온도에 따른 인젝터의 분사량을 분석하고자 한다. 특히 냉간 시동시와 같은 조건에서 분사량의 변화를 측정하여 저온환경이 가스인젝터 성능에 미치는 영향을 파악하고자 하며, 가스 인젝터 내부의 스프링 특성을 다르게 하여 실험을 진행 하였다. 실험 장치는 연료 공급부, 유량 측정부, 온도 챔버와 인젝터 제어부로 구성하였다. 실험결과를 통해 저온환경일수록 가스인젝터의 초기 분사량이 증가하였으며, 스프링길이 증가에 따른 니들의 열리는 시간(무효분사시간)이 지연됨을 확인하였다.

• 한국수소및신에너지학회논문집
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• 제17권1호
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• pp.90-97
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• 2006

Hydrogen is used as a chemical feedstock in several important industrial processes, including oil refineries and petro-chemical production. But, nowadays hydrogen is focused as energy carrier on the rising of problems such as exhaustion of fossil fuel and environmental pollution. Thermochemical hydrogen production by nuclear energy has potential to efficiently produce large quantities of hydrogen without producing greenhouse gases, and research of nuclear hydrogen, therefore, has been worked with goal to demonstrate commercial production in 2020. The oil refineries and petro-chemical plant are very large, centralized producers and users of industrial hydrogen, and high-potential early market for hydrogen produced by nuclear energy. Therefore, it is essential to investigate and analyze for state of domestic hydrogen market focused on industrial users. Hydrogen market of petro-chemical industry as demand site was investigated and worked for demand forecast of hydrogen in 2020. Also we suggested possible supply plans of nuclear hydrogen considered regional characteristics and then it can be provided basis for determination of optimal capacity of nuclear hydrogen plant in 2020.

• 에너지공학
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• 제18권3호
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• pp.156-162
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• 2009

내연기관의 연소현상을 연구하는 연구자들에게 엔진 내부의 압력값은 연소과정을 이해 할 수 있는 좋은 데이터가 된다. 본 논문에서는 압력값을 이용하여 스파크 점화기관의 무부하에서의 사이클 연소 변동의 중요한 원인이 무엇인가를 규명한다. 또한 실험기관의 연소실에서 채취한 압력 데이터는 사이클 변동의 연소 해석의 기초 데이터와 연소율 해석 등의 데이터분석을 하는데 사용되었다. 연소변수의 입력변수로써 연료, 공기, 잔류량, 등등이 사이클 변동을 결정하는데 사용되었다.

• 한국도로학회논문집
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• 제19권4호
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• pp.1-7
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• 2017

PURPOSES : This study aims to improve complex modeling of multivariable, nonlinear, and overdispersion data with an artificial neural network that has been a problem in the civil and transport sectors. METHODS: Deep learning, which is a technique employing artificial neural networks, was applied for developing a large bus fuel consumption model as a case study. Estimation characteristics and accuracy were compared with the results of conventional multiple regression modeling. RESULTS : The deep learning model remarkably improved estimation accuracy of regression modeling, from R-sq. 18.76% to 72.22%. In addition, it was very flexible in reflecting large variance and complex relationships between dependent and independent variables. CONCLUSIONS : Deep learning could be a new alternative that solves general problems inherent in conventional statistical methods and it is highly promising in planning and optimizing issues in the civil and transport sectors. Extended applications to other fields, such as pavement management, structure safety, operation of intelligent transport systems, and traffic noise estimation are highly recommended.

• 전기학회논문지P
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• 제61권2호
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• pp.74-81
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• 2012

The purpose of this study provides the theoretical model for protecting the economic and social loss from the current alternative fuel vehicle which is developed without compatibility and senseless one's own through verifying the statistical significant by method of measuring analysis. The market scale of alternative fuel vehicle depends on customer's and station's expectation about the number of potential vehicle users. It is very difficult for vehicle manufacturer to make a decision on the standard alternative fuel vehicle as it might reduce profit and market share. Accordingly, the development of alternative fuel vehicle should have manufacturer confident on the potential profit in the future. Moreover, if we decide to use the non-standard fuel after we started to use the standard fuel, it would take a huge cost comparing with starting to use the standard fuel only. As a result, once one of companies starts to provide the non-standard fuel service, it is getting more difficult to use the standard fuel going forward. Consequently, we may review the possibility of choice on the standard fuel before the vehicle manufacturer starts service with non-standard fuel.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2006년도 제26회 춘계학술대회논문집
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• pp.387-390
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• 2006

스피닝은 가장적은 가공력과 간단한 도구를 이용하여 소재를 변형시키는 방법중의 하나이다. 그리고 소재의 소성변형으로 인해 기계적 특성의 향상을 가져오는 공법이다. 이러한 스피닝 공법은 자동차, 항공, 군사 분야에서 중요한 부품의 생산에 적용되는 기술이다. 본 연구에서는 발사체 연료탱크의 돔형상에 스피닝 공법을 적용하여 제작함에 있어 롤러의 이송속도와 소재의 두께감소에 따른 성형력의 경향을 유한요소 해석을 이용하여 분석하였다.