• 에너지공학
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• 제18권1호
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• pp.31-36
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• 2009

환경친화적인 자동차 제조 방법에는 몇 가지 방법이 있다. 하이브리드 전기자동차는 가장 현실적인 방법일 것이다. 하이브리드 전기자동차는 내연기관과 전기장치의 두 가지 동력을 사용한다. 하이브리드 전기자동차는 연료소비와 배기가스 저감을 위해서 개발되었다. 저자들은 하이브리 전기자동차의 주요 동력원으로 디젤 기관을 선택했다. 테스트는 도심버스주행모드와 고속도로주행모드가 사용되었다. 본 연구는 직렬하이브리드 전기자동차, 병렬하이브리드 전기자동차, 플러그인 직렬 전기자동차와 플러그인 병렬 전기자동차에 따른 중형디젤 하이브리드 자동차의 연료경제성과 배기가스의 시뮬레이션의 결과를 제시하고 있다.

• 한국자동차공학회논문집
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• 제10권5호
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• pp.121-128
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• 2002

In this paper, the fuel economy of plug-in type hybrid electric vehicle is investigated through simulation. For the simulation study, 2 shaft type parallel hybrid powertrain is chosen and its operation modes are described. The operation algorithm which yields operation points of minimal fuel cost is suggested. Dynamic model fur operation of HEV and simulation procedure is described. Simulation results of fuel economy is compared to non plug-in type HEV as well as conventional vehicle. With total driving distance of 37km and full usage of 2kwh of electric energy stored in battery pack, plug-in type HEV shows 28-30% improved fuel economy compared to non plug-in type HEV and 86-93% improved fuel economy compared to conventional vehicle.

• 에너지공학
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• 제19권1호
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• pp.39-50
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• 2010

하이브리드 전기자동차(HEV: Hybrid Electric Vehicle)와 플러그 인 하이브리드 전기자동차 (PHEV: Plug-in Hybrid Electric Vehicle)는 화석연료 배출가스를 제거하고 연료경제성을 개선하기 위하여 급속한 속도로 전통적 가솔린 엔진 자동차를 대체할 것이다. 이 리뷰는 병렬 하이브리드 전기자동차를 위한 퍼지로직 제어전략과 최적화를 설명하였다. HEV와 PHEV를 위한 전기모터와 리튬이온 배터리의 최근 발전을 기술하였으며 국제적 학술지에 출판된 논문수와 등록된 특허 수에 근거한 한국의 HEV와 PHEV 기술의 경쟁력 분석도 수행하였다.

• Advances in Energy Research
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• 제7권1호
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• pp.35-52
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• 2020

The paper proposes a hybrid approach of artificial bee colony (ABC) and grey wolf optimizer (GWO) algorithm for multi-objective and multidimensional engine optimization of a converted plug-in hybrid electric vehicle. The proposed strategy is used to optimize all emissions along with brake specific fuel consumption (FC) for converted parallel operated diesel plug-in hybrid electric vehicle (PHEV). All emissions particulate matter (PM), nitrogen oxide (NOx), carbon monoxide (CO) and hydrocarbon (HC) are considered as optimization parameters with weighted factors. 70 hp engine data of NOx, PM, HC, CO and FC obtained from Oak Ridge National Laboratory is used for the study. The algorithm is initialized with feasible solutions followed by the employee bee phase of artificial bee colony algorithm to provide exploitation. Onlooker and scout bee phase is replaced by GWO algorithm to provide exploration. MATLAB program is used for simulation. Hybrid ABC-GWO algorithm developed is tested extensively for various values of speeds and torque. The optimization performance and its environmental impact are discussed in detail. The optimization results obtained are verified by real data engine maps. It is also compared with modified ABC and GWO algorithm for checking the effectiveness of proposed algorithm. Hybrid ABC-GWO offers combine benefits of ABC and GWO by reducing computational load and complexity with less computation time providing a balance of exploitation and exploration and passes repeatability towards use for real-time optimization.

• 한국자동차공학회논문집
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• 제23권4호
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• pp.436-443
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• 2015

In order to develop the PHEV(plug-in hybrid electric vehicle), the specific power transmission systems considering the PHEV system characteristics should be applied. A PHEV applied to series-parallel type hybrid power transmission system is a typical example. In this paper, the novel hybrid power systems are proposed by analyzing the existing PHEV system. The backward simulation program is developed to analyze the fuel efficiency of hybrid power system. Quasi-static models for each components such as engine, motor, battery and vehicle are included in the developed simulation program. To obtain an optimal condition for hybrid systems, an optimization approach called the dynamic programming is applied. The simulation is performed in various driving cycles. A weakness for the existing system is found through the simulation. To compensate for a discovered weakness, novel hybrid power systems are proposed by adding or moving the clutch to the existing system. Comparing the simulation results for each systems, the improved fuel efficiency for proposed systems are verified.