• 제목/요약/키워드: hard type hybrid vehicle

검색결과 3건 처리시간 0.023초

소프트 타입과 하드타입 하이브리드자동차의 연비 및 배출가스 특성에 관한 연구 (Characteristics of fuel economy and emissions of soft and hard type hybrid vehicles)

  • 김종우
    • 한국산학기술학회논문지
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    • 제12권10호
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    • pp.4283-4287
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    • 2011
  • 본 논문은 현재 출시되어 있는 소프트타입의 현대 아반테 하이브리드자동차와 하드타입 방식의 도요다 프리우스 자동차를 대상으로 차대 동력계상에서 CVS-75 모드를 주행하면서 발생하는 배출가스특성과 연비특성을 실험적으로 분석하였다. 가솔린 차량에 비해 하이브리드 차량의 연비 및 배출가스 특성이 탁월하였으며 특히, 하드타입의 하이브리드 차량이 소프트타입의 차량에 비해 연비개선효과가 우수하게 나타났다.

Multiobjective Genetic Algorithm for Scheduling Problems in Manufacturing Systems

  • Gen, Mitsuo;Lin, Lin
    • Industrial Engineering and Management Systems
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    • 제11권4호
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    • pp.310-330
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    • 2012
  • Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic population-based metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.

고분자 전해질 연료전지를 이용한 무인비행체 동력시스템 설계 (Power System Development of Unmanned Aerial Vehicle using Proton Exchange Membrane Fuel Cell)

  • 지영광;손영준;박구곤;김창수;최유송;조성백
    • 한국수소및신에너지학회논문집
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    • 제23권3호
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    • pp.250-255
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    • 2012
  • In this paper, the development and performance analysis of a fuel cell-powered unmanned aerial vehicle is described. A fuel cell system featuring 1 kW proton exchange membrane fuel cell combined with a highly pressurized fuel supply system is proposed. For the higher fuel consumption efficiency and simplification of overall system, dead-end type operation is chosen and each individual system such as purge system, fuel supply system, cooling system is developed. Considering that fluctuation of exterior load makes it hard to stabilize fuel cell performance, the power management system is designed using a fuel cell and lithium-ion battery hybrid system. After integration of individual system, the performance of unmanned aerial vehicle is analyzed using data from flight and laboratory test. In the result, overall system was properly operated but for more duration of flight, research on weight lighting and improvement of fuel efficiency is needed to be progressed.