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  • Yang, Zhiwen  (4)
  • Unknown  (4)
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  • Unknown  (4)
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  • 1
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 2005, No. 1 ( 2021-08-01), p. 012174-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 2005, No. 1 ( 2021-08-01), p. 012174-
    Abstract: In order to establish a prediction model of PM and NOx emission factors for heavy-duty diesel vehicles under actual road conditions based on OBD remote monitoring and big data, this paper carried out actual road tests on two China V heavy-duty diesel vehicles to obtain transient OBD and emission data by a Portable Emission Measurement System (PEMS) and self-developed On-board Remote Emission Measurement System (OREMS) . According to the degree of influence of different parameters in the engine OBD on PM and NOx emissions, the principal component analysis method is used to extract the principal component parameters used to predict the model input, and the construction of a "Heavy-duty Diesel Vehicle Predictive Model based on Remote Monitoring Data and Neural Network Technology". Finally, the predictive model is trained and verified by PEMS test data. The prediction model provides new means and methods for the future development of large-scale heavy-duty diesel vehicle NOx and PM emission predictions under actual road operation.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
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  • 2
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 821, No. 1 ( 2021-07-01), p. 012014-
    Abstract: Plug-in hybrid electric vehicles (PHEVs) have been greatly promoted due to their advantage in both vehicle performance and energy conversion efficiency. However, real-world emission measurements are rarely conducted for PHEV under different initial battery state-of-charge (SoC). In this study, a portable emission measurement system (PEMS) was employed to investigate the real-world emissions of carbon monoxide (CO), nitrogen oxides (NO x ), and carbon dioxide (CO 2 ) from a Euro V PHEV under fully and uncharged initial battery SoC. Compared to the emissions under the uncharged state, the average emission factors (EFs) of CO, NO x , and CO 2 under the fully charged state are reduced by 72.2%, 27.8%, and 29.0%, respectively. And the reduction effect on the urban road is much more significantly prominent compared to that on the rural road and highway. In addition, obvious reduction effectiveness can be found for CO EFs in different average speed bins, especially those with speeds above 100 km/h. For NO x and CO 2 , however, the average speed-bin EFs are reduced only when the speed is below 70 km/h, while no obvious differences can be found when the speed is above 70 km/h. Furthermore, for the average vehicle specific power (VSP)-bin emission rates, obvious reduction effectiveness is observed for CO in different speed ranges, and for NO x and CO 2 in the low- and medium-speed ranges except the high-speed range.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2434538-6
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  • 3
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  IOP Conference Series: Earth and Environmental Science Vol. 821, No. 1 ( 2021-07-01), p. 012005-
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 821, No. 1 ( 2021-07-01), p. 012005-
    Abstract: The project team selected 3 taxis in the built-up area of Tangshan City to conduct emission tests under actual road conditions, systematically and comprehensively evaluated, analyzed and compared the test results. They established the VSPbin emission rate database and emission factor list of typical urban Taxis in the built-up area based on the actual driving characteristics of Tangshan city. To analyze the driving conditions of taxis in Tangshan City, this study selected four operating conditions: acceleration, constant speed, deceleration, and idle. The research results showed that as the emission standards became increasingly strict, the emission of single-vehicle pollutants decreased, and in particular NOx emissions were reduced by more than 90%. Compared with gasoline fuel, CNG fuel taxis’ CO2 and NOx emissions showed a downward trend. When natural gas was used as fuel, the CO emissions of taxis could be reduced by 27.2% ∼ 92.0%, and the CO2 emissions by 19. 5% ∼ 32.1%. The CO and CO2 emission factors of taxis both decrease with the increase of speed. For particulate matter, the quantity and quality emission factors both decrease first and then increase with the increase of speed, and the rising speed is obviously accelerated during the high-speed phase.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2434538-6
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  IOP Conference Series: Earth and Environmental Science Vol. 831, No. 1 ( 2021-08-01), p. 012013-
    In: IOP Conference Series: Earth and Environmental Science, IOP Publishing, Vol. 831, No. 1 ( 2021-08-01), p. 012013-
    Abstract: Plug-in hybrid electric vehicles (PHEVs) have been greatly promoted due to their advantages in both performance and energy saving. However, real-world particle emission measurements for PHEV are generally conducted by dilution system but rarely through the directly hot-sampling method. This study firstly employs a hot-sampling HT-ELPI+, the main component of a portable emission measurement system, to investigate the real-world emissions of particle matter (PM) and particle number (PN) from a Euro V PHEV. Obvious higher emission factors (EFs) of PN and PM occurred on the highway compared to those on other road types. However, the lowest EFs occurred on the urban road for PN, while on the rural road for PM. The average speed-bin EFs of PN and PM both exhibited increasing trends with the speed increase, especially when the speed exceeds 100 km/h. And the peak PN and PM emission rates in different speed ranges exhibit the highest in the high-speed range, while the lowest in the low-speed range. Furthermore, the particle number size distribution exhibited an obvious unimodal distribution (mode size: 9 nm) for the whole speed and the medium- and high-speed ranges, while a bimodal distribution (mode size: 9 nm and 30 nm) for the low-speed range.
    Type of Medium: Online Resource
    ISSN: 1755-1307 , 1755-1315
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2434538-6
    Location Call Number Limitation Availability
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