期刊
ATMOSPHERIC ENVIRONMENT
卷 217, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2019.116941
关键词
Port fuel injection; Gasoline direct injection; Fuel-injection pressure; Organic carbon; Elemental carbon
资金
- Korea Institute of Energy, Technology, Evaluation, and Planning
- Ministry of Trade, Industry, & Energy, Republic of Korea [20184010201710]
- National Institute of Environmental Research of the Republic of Korea [NIER-2016-01-01-044]
- Korea Environmental Industry & Technology Institute (KEITI) [NIER-2016-01-01-044] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
In this study, the particle emission characteristics of gasoline vehicles with four different types of spark ignition engines, i.e., port fuel-injection (PFI), 150-bar side-mounted gasoline direct-injection (GDI), 200-bar side-mounted GDI, and 200-bar center-mounted GDI vehicles, were evaluated using Federal Test Procedure-75 (FTP-75) and worldwide harmonized light vehicles test cycle (WLTC). Particulate matter (PM), particle number (PN), and organic carbon/elemental carbon ratio (GC/EC) were evaluated using a PM holder, a solid particle counting system, and an OC/EC analyzer. The results of the PM and PN emissions tests indicated that GDI 200-bar vehicles emitted less than GDI 150-bar vehicles, and center-mounted vehicles emitted less than side-mounted vehicles. PFI vehicles showed 15% higher PN emission rates compared with GDI vehicles during acceleration conditions in FFP-75 mode. Additionally, PN emissions in WLTC hot mode indicated that speed affects PFI vehicles more than GDI vehicles. Furthermore, PFI vehicles did not show significant PN emissions in a low-speed phase, even at high acceleration. PFI vehicles showed 15% higher PN emission rates compared with GDI vehicles while accelerating in FTP-75 mode. PFI and GDI side-mounted vehicles showed higher OC emission rates in hot mode than in cold mode.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据