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Research on a China 6b heavy-duty diesel vehicle real-world engine out NOx emission deterioration and ambient correction using big data approach

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Abstract

China VI standard proposed higher requirements for durability of heavy-duty diesel vehicles emissions. Previous research which took advantages of both on-board sensors and big data approach to get the NOx deterioration factor was rather scarce. This paper used big data approach to study the deterioration of engine out NOx emission based on 254,622 km operation data getting from the on-board sensors or ECUs (Electronic Control Unit). Meanwhile, a formula for on-board NOx correction for ambient humidity and temperature had been fitted. The analyses revealed that the engine out NOx deterioration factor (DF) of the maximum weight steady-state condition was about 1.005 after 254,622 km durability test; as for transient conditions, the DF was not more than 1.092 during 254,622 km durability test. For a same steady working condition, the engine out NOx mass flow (g/h) was negatively linearly correlated with absolute humidity (Ha) (R2 = 0.997). If Ha was lower than 12 g/kg, Ha almost had no effect on engine out NOx concentration (ppm). Otherwise, there was also a negatively linear relationship between them (R2 = 0.978). It is hoped that the methods and conclusions of this paper could provide some enlightenment for future NOx emission deterioration research.

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Data availability

The datasets used during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors are thankful to all the personnel who either provided technical support or helped with data collection. We also acknowledge all the reviewers for their useful comments and suggestions.

Funding

This research was funded by National Natural Science Foundation of China (NSFC), grant number 51679176.

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Authors and Affiliations

  1. School of Energy and Power Engineering, Wuhan University of Technology, Wuhan, 430063, China

    Peng Li & Lin Lü

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  1. Peng Li
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  2. Lin Lü
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Contributions

Peng Li: conceptualization, methodology, formal analysis, investigation, data curation, writing—original draft, visualization.

Lin Lü: conceptualization, methodology, investigation, resources, writing—review and editing, supervision, project administration, funding acquisition.

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Correspondence to Peng Li.

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Li, P., Lü, L. Research on a China 6b heavy-duty diesel vehicle real-world engine out NOx emission deterioration and ambient correction using big data approach. Environ Sci Pollut Res 29, 6949–6976 (2022). https://doi.org/10.1007/s11356-021-15778-2

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