Skip to main content
SpringerLink
Log in

Cold Start Emission Characteristics and Its Effects on Real Driving Emission Test

  • Conference paper
  • First Online:
Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 929))

Abstract

Worldwide harmonized light vehicles test cycle (WLTC) and real driving emission (RDE) tests were conducted for a light duty vehicles equipped with a gasoline direct injection (GDI) engine in accordance with the China 6 emission regulation of light-duty vehicles. Results show that compared to the cold WLTC test, the emissions of CO, NMHC, THC, PM, PN and NOx from a hot WLTC test are reduced by 91%, 71%, 61%, 39%, 37% and 27%, respectively. For RDE test, when calculating the cold start phase, the emissions of CO, PN and NOx are 24.2%, 2.2 and 3.4% higher than the emissions when excluding the cold start phase. CO2 emission from a hot WLTC is lower than that from a cold WLTC. Especially in the low speed phase, CO2 emission from a hot WLTC is 14% lower than that from a cold WLTC. When using CO2 emission from a cold WLTC and a hot WLTC respectively for move average window (MAW) calculation, the result shows that CO2 value has little effect on the conformity factor of each emission, but has a significant effect on verification of trip completeness and normality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Clairotte M, Adam W, Zardini A et al (2013) Effects of low temperature on the cold start gaseous emissions from light duty vehicles fuelled by ethanol-blended gasoline. Appl Energy 102:44–54

    Article  Google Scholar 

  2. Badshah H, Kittelson D, Northrop W Particle emissions from light-duty vehicles during cold-cold start. SAE Paper 2016-01-1775 (2016)

    Google Scholar 

  3. Saliba G, Saleh R, Zhao YL et al (2017) Comparison of gasoline direct-injection (GDI) and port fuel injection (PFI) vehicle emissions: emission certification standards, cold-start, secondary organic aerosol formation potential, and potential climate impacts. Environ Sci Technol 51(11):6542–6552

    Article  Google Scholar 

  4. Liu Y (2005) Internal combustion engine emissions and control. Machinery Industry Press, Beijing

    Google Scholar 

  5. Ministry of Environment Protection (2016) GB 18352.6—2016 Limits and measurement methods for emissions from light-duty vehicles (Chinese stage 6) 23 December 2016

    Google Scholar 

  6. Wang B, Dai, C, Li J, et al (2017) Research on RDE test methods for light-duty vehicle. Autom Parts (3):6–9

    Google Scholar 

  7. Fu B, Yang Z, Yin H et al (2017) A research on the real driving emission characteristics of light-duty gasoline vehicles. Automot Eng 39(4):376–380 (in Chinese)

    Google Scholar 

  8. Yang Z, Fu B, Yin H et al (2017) A research on the real driving emission characteristics of light-duty diesel vehicles. Automot Eng 39(5):497–502 (in Chinese)

    Google Scholar 

  9. Ma Z (2017) Research on the characteristics of Real Driving Emissions (RDE) for light duty vehicles. Master dissertation, Jilin University

    Google Scholar 

  10. Luján M, Bermúdez V, Dolz V et al (2018) An assessment of the real-world driving gaseous emissions from a Euro 6 light-duty diesel vehicle using a portable emissions measurement system (PEMS). Atmos Environ 174:112–121

    Article  Google Scholar 

  11. Khan T, Christopher H (2018) Comparison of real-world and certification emission rates for light duty gasoline vehicles. Sci Total Environ 622–623:790–800

    Article  Google Scholar 

  12. Wang H, Hu J, Bao X (2010) Emission characteristics of gasoline taxi cabs complying with China 4 emission standards during cold and hot starts. J Automot Saf Energy 1(2):146–151

    Google Scholar 

Download references

Acknowledgement

Supported by China Ministry of Science and Technology’s Air Pollution Cause Control Technology Special Project (2016YFC0208002).

Author information

Authors and Affiliations

  1. China Automotive Technology and Research Center Co., Ltd., Tianjin, 300300, China

    Xiaowei Wang, Xiaojun Jing & Jingyuan Li

Authors
  1. Xiaowei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaojun Jing
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jingyuan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiaowei Wang .

Editor information

Editors and Affiliations

  1. Department of Decision and Information Sciences, Oakland University School of Business Administration, Rochester, MI, USA

    Vijayan Sugumaran

  2. Shanghai University, Shanghai, China

    Zheng Xu

  3. Vinayaka Mission’s Research Foundation, Aarupadai Veedu Institute of Technology, Salem, Tamil Nadu, India

    Shankar P.

  4. Department of Informatics, University of Leicester, Leicester, Leicestershire, UK

    Huiyu Zhou

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, X., Jing, X., Li, J. (2019). Cold Start Emission Characteristics and Its Effects on Real Driving Emission Test. In: Sugumaran, V., Xu, Z., P., S., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2019. Advances in Intelligent Systems and Computing, vol 929. Springer, Cham. https://doi.org/10.1007/978-3-030-15740-1_114

Download citation

Publish with us

Policies and ethics

Search

Navigation