LAPSE:2023.0102
Published Article
LAPSE:2023.0102
Real-World Pipe-Out Emissions from Gasoline Direct Injection Passenger Cars
Junfeng Huang, Jianbing Gao, Yufeng Wang, Ce Yang, Chaochen Ma
February 17, 2023
Abstract
The analysis of real-world emissions is necessary to reduce the emissions of vehicles during on-road driving. In this paper, the matrix of gasoline direct injection passenger cars is applied to analyze the real-world emissions. The results show that high acceleration and high speed conditions are major conditions for the particulate number emissions, and the particulate number emissions are positively correlated with torque and throttle opening. The catalyst temperature and saturation are important factors that affect nitrogen oxide emission. The nitrogen oxide emissions of low speed and low torque conditions cannot be ignored in real-world driving. The carbon dioxide emissions are positively correlated with acceleration, torque and throttle opening. Once the vehicles are in the acceleration condition, the carbon dioxide emissions increase rapidly. The vehicles with higher average emission factors are more susceptible to driving behaviors, and the differences in the emission factors are more obvious, leading to an increase in the difficulty of emission control.
Keywords
Carbon Dioxide, driving behavior, GDI vehicles, nitrogen oxides, particulate number, real-world emissions
Suggested Citation
Huang J, Gao J, Wang Y, Yang C, Ma C. Real-World Pipe-Out Emissions from Gasoline Direct Injection Passenger Cars. (2023). LAPSE:2023.0102
Author Affiliations
Huang J: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Gao J: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China [ORCID]
Wang Y: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Yang C: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Ma C: School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
Journal Name
Processes
Volume
11
Issue
1
First Page
66
Year
2022
Publication Date
2022-12-27
ISSN
2227-9717
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Original Submission
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PII: pr11010066, Publication Type: Journal Article
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LAPSE:2023.0102
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https://doi.org/10.3390/pr11010066
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Feb 17, 2023
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