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인공신경망을 이용한 플러그인 하이브리드 차량의 동력분배제어전략 개발
심규현(K. H. Sim),이수지(S. J. Lee),이지석(J. S. Lee),남궁철(C. Namkoong),한관수(K. S. Han),황성호(S. H. Hwang) 유공압건설기계학회 2015 드라이브·컨트롤 Vol.12 No.3
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.
굴삭기 Human-In-The-Loop 시뮬레이터 개발
이상욱(S. U. Lee),오상민(S. M. Oh),한관수(K. S. Han),황성호(S. H. Hwang) 유공압건설기계학회 2017 유공압건설기계학회 학술대회논문집 Vol.2017 No.11
The excavator modeling based on conventional MCV is performed by using Amesim. There have been many researches on excavator modeling using commercial software. However, because it is necessary to define the input values before execution of the simulation, it is mainly used to characterize the hydraulic system behavior under the typical input conditions. In this paper, we developed a human-in-the-loop simulator that can generate user inputs from an external device such as a joystick as in the actual work environment. By performing co-simulation between the hydraulic system model using Amesim and the user interface software using LabVIEW, the various simulations are performed by inputting the user’s real-time operating signals. This allows the user to observe the pressure and flow rate of the hydraulic system and the displacement behavior of the actuator when the joystick is operated in similar conditions as in an actual environment. In the future, this developed simulator could be used in such areas as excavator driving practice and operators fatigue analysis if coupled with a working load model.
연비 평가를 위한 6속 DCT기반 HEV 성능 시뮬레이터의 개발
백진주(J. J. Baek),이용관(Y. K. Lee),박진현(J. H. Park),한관수(K. S. Han),황성호(S. H. Hwang) 유공압건설기계학회 2013 드라이브·컨트롤 Vol.10 No.4
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.
디젤 플러그인 하이브리드 자동차 연비평가 시뮬레이터 개발
정호운(H. U. Jeong),심규현(K. H. Sim),김동렴(D. R. Kim),정래상(R. S. Jeong),한관수(K. S. Han),황성호(S. H. Hwang) 유공압건설기계학회 2014 유공압건설기계학회 학술대회논문집 Vol.2014 No.9
Diesel engines have some advantages over gasoline engines. Diesel engines can produce more torque in low speed and have higher fuel efficiency and make less carbon dioxide. There have been many studies that improve fuel efficiency of diesel engines, and diesel hybrid system emerges as most practical method out of the studies. Plug-in Hybrid Electric Vehicles (PHEV) can recharge batteries from urban electric grid system. PHEV can drive with only motor for some distance, which increases fuel efficiency. To evaluate fuel efficiency of different types of diesel PHEV systems, important components of PHEV power split system have been modeled by MATLAB Simulink. Torque and efficiency characteristics of diesel engine and Motor/Generator uses resized actual experimental data. Batteries, Clutches, Transmissions have been modeled as equations. Finally a DCT TMED system has been composed by adding controller of each module to verify system modeling.