Aiming at the features of Plug-in Hybrid Electric Vehicles (PHEV) which can be charged through the network, the moving process of starting the engine was analyzed; the vehicle energy management strategy was formulated by combing of pure electric control strategy and economic model control strategy. Using genetic algorithm to optimize the upper and lower fluctuation limit values of state of charge (SOC) in charge sustain (CS) mode and engine optimal curve. The Simulation evaluation of PHEV energy consumption economy was conducted. The results indicate that control strategy keep the engine operation points within the peak efficiency region and reduce the energy consumption economy by 28.4%, 35.8%, 26.6 under New European Driving Cycle(NEDC), Urban Dynamometer Driving Schedule (UDDS) and Highway Fuel Economy Test (HWFET) cycle conditions, compared with prototype vehicle.
목차
Abstract 1. Introduction 2. Power System Configuration 3. Energy Management Strategy 3.1 Process Analysis of Starting the Engine 3.2 Control Strategy 4. Simulation and Analysis 5. Summary References
키워드
Plug-in Hybrid Electric Vehiclecontrol strategygenetic algorithmenergy consumption economy
저자
Xu Liu [ Chongqing College of Electronic Engineering, Chongqing, 401331, China ]
보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of u- and e- Service, Science and Technology
간기
격월간
pISSN
2005-4246
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.3