• 제목/요약/키워드: Hybrid drive

검색결과 306건 처리시간 0.022초

무인기용 직렬 하이브리드 동력시스템 운용 제어로직 (Operational Control Logic of Series Hybrid Power System for the Unmanned Aerial Vehicle)

  • 이보화;박부민;김근배
    • 한국추진공학회지
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    • 제25권1호
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    • pp.68-76
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    • 2021
  • 본 연구에서 대상으로 삼은 직렬 하이브리드 시스템은 무인기용으로 왕복엔진, 발전기, 배터리를 주 동력원으로 사용한다. 발전기는 왕복엔진의 구동축에 직결되며, 왕복엔진-발전기 세트의 운용 특성은 지상통합시험을 통해 확인하였다. 본 연구에서는 해당 시험 결과를 바탕으로 왕복엔진-발전기 출력과 배터리 출력을 효율적으로 사용하기 위한 제어로직을 제시하였고, 로직에 따른 왕복엔진-발전기와 배터리의 출력 변동은 시뮬레이션을 통해 확인하였다. 그 결과, 발전기 출력은 제시된 제어로직에 의해 배터리 출력과 함께 추진요구전력을 공급함을 확인하였다.

SSD 캐시를 위한 이웃 프리페칭 기법 (A Neighbor Prefetching Scheme for a Hybrid Storage System)

  • 백승훈
    • 한국차세대컴퓨팅학회논문지
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    • 제14권5호
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    • pp.40-52
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    • 2018
  • 플래시 기반의 SSD(solid state drive)를 HDD(hard disk drive)의 2차 캐시로 사용하는 기술이 많이 연구되었다. SSD를 이용한 캐시에 대한 캐시 교체 정책 및 관리에 관한 연구뿐만 아니라 프리페칭 연구도 필요하게 되었다. 본 논문은 SSD를 스토리지급 캐시로 사용하는 시스템을 위한 프리페칭 기술을 제시한다. 이 프리페칭 기술은 스토리지급 크기의 캐시에 맞게 대규모의 프리페칭이며, 단기적인 프리페칭은 1차 캐시인 주메모리에서 수행되므로 장기적 스케줄링을 기반한 프리페칭이며, 기존 프리페칭은 읽기만을 고려하였지만, 지속 가능한 SSD 캐시를 위해 쓰기 요청도 고려한 프리페칭이다. 어떤 사용자의 14일간의 입출력에서, 64GB 용량의 SSD에 프리페칭 용량이 4GiB일 때에, 2.3%에서 17.8%의 캐시 적중률 향상을 보였다. 본 기술은 구현이 간단하여 스토리지급 캐시 시스템에 쉽게 적용할 수 있다.

하이브리드 SOM을 이용한 동적 웹 정보 추천 기법 (Dynamic Web Recommendation Method Using Hybrid SOM)

  • 윤경배;박창희
    • 정보처리학회논문지B
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    • 제11B권4호
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    • pp.471-476
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    • 2004
  • 최근, 사용자에게 가장 필요한 정보를 제공하기 위한 웹 정보 추천 시스템에 대한 연구가 인터넷 쇼핑몰등을 대상으로 활발히 진행되고 있다. 그 중 SOM(Self-Organizing Feature Maps)을 이용한 동적 웹 정보 추천 기법은 빠른 수행 속도와 간편하게 사용할 수 있는 장점이 존재하나, 모형에 대한 설명력 부족 및 최종적으로 구축된 모형에서 출력층의 각 노드가 한 개의 가중치 값들로 고정되는 단점이 존재한다. 본 논문에서는 이러한 단점인 모형에 대한 설명력 부족을 베이지안 추론 기법으로 해결하며, 하이브리드 SOM을 이용하여 최종적으로 구축된 모형에서 출력층의 각 노드가 한 개의 가중치 값들로 고정되는 것이 아니라 가중치가 속하게 되는 분포가 결정되도록 한다. 이러한 하이브리드 SOM을 이용하여 동적 웹 정보 추천 기법을 설계하고 구현하여 기존의 웹 정보 추천 기법과 성능 비교를 수행한 결과, 제안된 기법의 우수함이 입증되었다.

PHEV(Plug in Hybrid Electric Vehicle)의 클러치 구동 시스템을 위한 BLDC 모터의 위치제어기 (Position Controller for Clutch Drive System of PHEV(Plug in Hybrid Electric Vehicle))

  • 진용신;신희근;김학원;목형수;조관열
    • 전력전자학회논문지
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    • 제17권2호
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    • pp.166-173
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    • 2012
  • Plug-in Hybrid Electric Vehicle is driven by the engine, the primary traction motor, and the secondary auxiliary motor generating the electric power for battery charging. Secondary auxiliary motor should be connected to the engine or separated from the engine by the clutch system. This paper presents the position controller of the BLDC motor for the clutch system of Plug-in Hybrid Electric Vehicle. The BLDC motor can be applied to the clutch system in spite of it's low accuracy of the position control due to high gear ratio between the clutch and the motor. Since the attachment and the detachment between the motor and the engine should be carried out within 0.3 seconds, the position controller with fast acceleration and deceleration is implemented. For the torque control with braking operation for the BLDC motor, the modified bipolar PWM method with low current ripple compared to the conventional unipolar PWM is presented. The position control performance of the BLDC motor for the clutch system is verified through the simulation and experiments.

인휠 전기 구동 기반의 능동안전지원 알고리즘 개발 (Development of Algorithm for Advanced Driver Assist based on In-Wheel Hybrid Driveline)

  • 황윤형;양인범
    • 한국산학기술학회논문지
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    • 제18권12호
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    • pp.1-8
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    • 2017
  • 본 연구에서는 인휠 전기구동 시스템의 장점을 바탕으로 첨단능동안전지원 기술의 일종인 적응순항제어(Adaptive Cruise Control, ACC) 알고리즘의 고도화 방안을 제시한다. 본 연구에서 대상 차량은 전륜은 엔진에 의해, 후륜은 인휠모터에 의해 구동되는 4륜 하이브리드 구동계를 갖는 것을 특징으로 하는데, 이러한 구성은 기존 내연기관 차량을 개선하여 차량의 출력을 증가시키거나 4륜 하이브리드 형태로의 변화를 용이하게 하는 장점이 있다. 본 연구에서는 이러한 차량의 구성을 바탕으로 기본 상태에서는 엔진만을 이용하여 차간거리 제어를 수행하되, 젖은 노면 등 주행 환경에서 제어오차가 커지게 되면 후륜의 인휠모터를 구동하여 제어성능을 확보할 수 있는 ACC 알고리즘을 제안한다. 제안된 ACC 알고리즘은 상기와 같은 방법으로 ACC 제어성능을 최적화함과 동시에 기존 4륜 자동차가 갖는 장점을 그대로 유지하도록 한다. 또한 본 연구에서는 고정밀 동역학 SW를 기반으로 대상 인휠모터 및 인휠 하이브리드 구동계, 해당 구동계 기반의 ACC 제어시스템을 모델링하였으며, 이를 통해 시뮬레이션 환경을 기반으로 제안된 알고리즘의 검증 결과를 제시한다.

Comparative Study of Minimum Ripple Switching Loss PWM Hybrid Sequences for Two-level VSI Drives

  • Vivek, G.;Biswas, Jayanta;Nair, Meenu D.;Barai, Mukti
    • Journal of Power Electronics
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    • 제18권6호
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    • pp.1729-1750
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    • 2018
  • Voltage source inverters (VSIs) are widely used to drive induction motors in industry applications. The quality of output waveforms depends on the switching sequences used in pulse width modulation (PWM). In this work, all existing optimal space vector pulse width modulation (SVPWM) switching strategies are studied. The performance of existing SVPWM switching strategies is optimized to realize a tradeoff between quality of output waveforms and switching losses. This study generalizes the existing optimal switching sequences for total harmonic distortions (THDs) and switching losses for different modulation indexes and reference angles with a parameter called quality factor. This factor provides a common platform in which the THDs and switching losses of different SVPWM techniques can be compared. The optimal spatial distribution of each sequence is derived on the basis of the quality factor to minimize harmonic current distortions and switching losses in a sector; the result is the minimum ripple loss SVPWM (MRSLPWM). By employing the sequences from optimized switching maps, the proposed method can simultaneously reduce THDs and switching losses. Two hybrid SVPWM techniques are proposed to reduce line current distortions and switching losses in motor drives. The proposed hybrid SVPWM strategies are MRSLPWM 30 and MRSLPWM 90. With a low-cost PIC microcontroller (PIC18F452), the proposed hybrid SVPWM techniques and the quality of output waveforms are experimentally validated on a 2 kVA VSI based on a three-phase two-level insulated gate bipolar transistor.

인공신경망을 이용한 플러그인 하이브리드 차량의 동력분배제어전략 개발 (Development of Power Distribution Control Strategy for Plug-in Hybrid Electric Vehicle using Neural Network)

  • 심규현;이수지;이지석;남궁철;한관수;황성호
    • 드라이브 ㆍ 컨트롤
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    • 제12권3호
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    • pp.18-24
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    • 2015
  • The plug-in hybrid electric vehicle has a high fuel economy and can be driven long distances. Its different modes include the electric vehicle, hybrid electric vehicle, and only engine operating mode. A power management strategy is important to determine which mode should be selected. The strategy makes the vehicle more efficient using appropriate power sources for driving. However, the strategy usually needs a driving speed profile which is future driving cycle. If the profile is known, the strategy easily determines which mode is driven efficiently. However, it is difficult to estimate the speed profile for a real system. To address this problem, this paper proposes a new power distribution strategy using a neural network. The average speed and driving range are used as input parameters to train the neural network system. The strategy determines a limit for the use of the battery and the desired power is distributed between the engine and the motor simultaneously. Its fuel economy can increase by improving the basic strategy.

연비 평가를 위한 6속 DCT기반 HEV 성능 시뮬레이터의 개발 (Development of Performance Simulator for 6-speed DCT-based Hybrid Electric Vehicle to Evaluate the Fuel Economy)

  • 백진주;이용관;박진현;한관수;황성호
    • 드라이브 ㆍ 컨트롤
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    • 제10권4호
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    • pp.1-6
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    • 2013
  • With aggravation of environmental contamination and energy resource exhaustion, Hybrid Electric Vehicles (HEV) that can be economically operated with low fuel consumption are receiving greater attention. For performance improvement of such HEV, the development of efficient transmission can be seen as one of core technologies such as performance of components and driving strategy. Dual clutch transmission (DCT) is actively studied as a transmission type for HEV due to its advantages of having excellent power transmission efficiency based on manual transmission characteristic, resolving the problem of power interruption, and realizing driving convenience of automatic transmission (AT). In this paper, one diesel HEV equipped with 6-Speed DCT, modelled using MATLAB/Simulink, and a performance simulator developed for this vehicle are introduced. Driving simulation with driving cycles such as FTP75 and NYCC was performed using the developed performance simulator, and the simulated results regarding state of charge and fuel economy, when AT and DCT are applied to this diesel hybrid vehicle respectively, are compared. This performance simulator can be utilized to develop a control algorithm for improving the fuel economy of HEV with DCT.

Study on Equivalent Consumption Minimization Strategy Application in PTI-PTO Mode of Diesel-Electric Hybrid Propulsion System for Ships

  • Lee, Dae-Hong;Kim, Jong-Su;Yoon, Kyoung-Kuk;Hur, Jae-Jung
    • 해양환경안전학회지
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    • 제28권3호
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    • pp.451-458
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    • 2022
  • In Korea, five major ports have been designated as sulfur oxide emission control areas to reduce air pollutant emissions, in accordance with Article 10 of the "Special Act on Port Air Quality" and Article 32 of the "Ship Pollution Prevention Regulations". As regulations against vessel-originated air pollutants (such as PM, CO2, NOx, and SOx) have been strengthened, the Ministry of Oceans and Fisheries(MOF) enacted rules that newly built public ships should adopt eco-friendly propulsion systems. However, particularly in diesel-electric hybrid propulsion systems,the demand for precise control schemes continues to grow as the fuel saving rate significantly varies depending on the control strategy applied. The conventional Power Take In-Power Take Off(PTI - PTO) mode control adopts a rule-based strategy, but this strategy is applied only in the low-load range and PTI mode; thus, an additional method is required to determine the optimal fuel consumption point. The proposed control method is designed to optimize fuel consumption by applying the equivalent consumption minimization strategy(ECMS) to the PTI - PTO mode by considering the characteristics of the specific fuel oil consumption(SFOC) of the engine in a diesel-electric hybrid propulsion system. To apply this method, a specific fishing vessel model operating on the Korean coast was selected to simulate the load operation environment of the ship. In this study, a 10.2% reduction was achieved in the MATLAB/SimDrive and SimElectric simulation by comparing the fuel consumption and CO2 emissions of the ship to which the conventional rule-based strategy was applied and that to which the ECMS was applied.

차량용 이산화탄소 열펌프 시스템의 냉난방 성능 비교평가 (Comparative Evaluation of the Cooling and Heating Performance of a $CO_2$ Heat Pump System for Vehicles)

  • 김성철;김민수
    • 한국자동차공학회논문집
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    • 제17권2호
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    • pp.126-131
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    • 2009
  • A $CO_2$ heat pump system was designed for both cooling and heating in the cabin of electric vehicles, hybrid vehicles or fuel cell vehicles, In this study, the performance characteristics of the heat pump system without any supplementary heating device were analyzed and the heating performance was compared with the cooling performance for various operating conditions. Experiments were carried out by changing the speed of electric drive compressor, the air flow rate of interior heat exchanger and the air inlet temperature and speed of exterior heat exchanger. Therefore, the cooling/heating capacities and the corresponding COPs are quantified. Also, the heat pump system showed an improved performance for the cooling operation and the heating operation. In this study, the experimental results can be used to evaluate the effect of system design changes on system performance as well as the development of a highly efficient heat pump system.