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Assessment of Heavy-Duty Diesel Vehicle NOx and CO2 Emissions Based on OBD Data

Hao, Lijun ; Ren, Yanxu ; Lu, Wenhui ; Jiang, Nan ; Ge, Yunshan and Wang, Yachao LU (2023) In Atmosphere 14(9).
Abstract

Controlling NOx and CO2 emissions from heavy-duty diesel vehicles (HDDVs) is receiving increasing attention. Accurate measurement of HDDV NOx and CO2 emissions is the prerequisite for HDDV emission control. Vehicle emission regulations srecommend the measurement of NOx and CO2 emissions from vehicles using an emission analyzer, which is expensive and unsuitable to measure a large number of vehicles in a short time. The on-board diagnostics (OBD) data stream of HDDVs provides great convenience for calculating vehicle NOx and CO2 emissions by providing the engine fuel flow rate, NOx sensor output, and air mass flow. The calculated vehicle NOx and CO2 emissions based on the OBD data... (More)

Controlling NOx and CO2 emissions from heavy-duty diesel vehicles (HDDVs) is receiving increasing attention. Accurate measurement of HDDV NOx and CO2 emissions is the prerequisite for HDDV emission control. Vehicle emission regulations srecommend the measurement of NOx and CO2 emissions from vehicles using an emission analyzer, which is expensive and unsuitable to measure a large number of vehicles in a short time. The on-board diagnostics (OBD) data stream of HDDVs provides great convenience for calculating vehicle NOx and CO2 emissions by providing the engine fuel flow rate, NOx sensor output, and air mass flow. The calculated vehicle NOx and CO2 emissions based on the OBD data were validated by testing a heavy-duty truck’s emissions on the chassis dynamometer over the CHTC-HT driving cycle, showing that the calculated NOx and CO2 emissions based on the OBD data are consistent with the measured results by the emission analyzer. The calculated vehicle fuel consumptions based on the OBD data were close to the calculated results based on the carbon balance method and the measured results by the fuel flowmeter. The experimental results show that accessing vehicle NOx and CO2 emissions based on the OBD data is a convenient and applicable method.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
CO, heavy-duty diesel vehicle, NOx, on-board diagnostics, on-board emission testing
in
Atmosphere
volume
14
issue
9
article number
1417
publisher
MDPI AG
external identifiers
  • scopus:85172892128
ISSN
2073-4433
DOI
10.3390/atmos14091417
language
English
LU publication?
yes
id
bfeb5e39-62b7-4cb6-b1c5-c8a1773c38d1
date added to LUP
2023-12-13 13:41:13
date last changed
2023-12-13 13:42:34
@article{bfeb5e39-62b7-4cb6-b1c5-c8a1773c38d1,
  abstract     = {{<p>Controlling NOx and CO<sub>2</sub> emissions from heavy-duty diesel vehicles (HDDVs) is receiving increasing attention. Accurate measurement of HDDV NOx and CO<sub>2</sub> emissions is the prerequisite for HDDV emission control. Vehicle emission regulations srecommend the measurement of NOx and CO<sub>2</sub> emissions from vehicles using an emission analyzer, which is expensive and unsuitable to measure a large number of vehicles in a short time. The on-board diagnostics (OBD) data stream of HDDVs provides great convenience for calculating vehicle NOx and CO<sub>2</sub> emissions by providing the engine fuel flow rate, NOx sensor output, and air mass flow. The calculated vehicle NOx and CO<sub>2</sub> emissions based on the OBD data were validated by testing a heavy-duty truck’s emissions on the chassis dynamometer over the CHTC-HT driving cycle, showing that the calculated NOx and CO<sub>2</sub> emissions based on the OBD data are consistent with the measured results by the emission analyzer. The calculated vehicle fuel consumptions based on the OBD data were close to the calculated results based on the carbon balance method and the measured results by the fuel flowmeter. The experimental results show that accessing vehicle NOx and CO<sub>2</sub> emissions based on the OBD data is a convenient and applicable method.</p>}},
  author       = {{Hao, Lijun and Ren, Yanxu and Lu, Wenhui and Jiang, Nan and Ge, Yunshan and Wang, Yachao}},
  issn         = {{2073-4433}},
  keywords     = {{CO; heavy-duty diesel vehicle; NOx; on-board diagnostics; on-board emission testing}},
  language     = {{eng}},
  number       = {{9}},
  publisher    = {{MDPI AG}},
  series       = {{Atmosphere}},
  title        = {{Assessment of Heavy-Duty Diesel Vehicle NOx and CO<sub>2</sub> Emissions Based on OBD Data}},
  url          = {{http://dx.doi.org/10.3390/atmos14091417}},
  doi          = {{10.3390/atmos14091417}},
  volume       = {{14}},
  year         = {{2023}},
}