TY - JOUR
T1 - Study on real-road nitrogen oxide and carbon dioxide emissions of China-6 heavy-duty diesel vehicles
AU - Ge, Zihao
AU - Yin, Hang
AU - Zhou, Tao
AU - Ji, Zhe
AU - Lyu, Liqun
AU - Huang, Ying
N1 - Publisher Copyright:
© 2025
PY - 2025/2/25
Y1 - 2025/2/25
N2 - This paper analyzed the NOx and CO2 emissions of HDDV in actual use based on remote-monitored data. First, the validity of remote-monitored data has been demonstrated by aligning and comparing the results of PEMS tests and remote-monitored data and selecting 9 HDDVs for analysis. Then, real-road NOx and CO2 emission characteristics in different seasons and mileages were analyzed. The results showed that the NOx emissions were significantly higher in winter and spring than in other seasons due to the ambient temperatures. Also, the NOx emissions of the tested vehicles showed a slowly increasing tendency as the vehicle's mileage increased, but they were still within the limitations as the mileage exceeded 420,000 km. Distance-based CO2 emissions and fuel consumption varied in different seasons due to the uncertainties of various factors including payload, vehicle speed and acceleration, road grade, etc., while work-based CO2 emissions varied a little. Remote monitoring enables long-term, real-time, and nationwide analysis of heavy-duty vehicular NOx and CO2 emissions in real-world applications, assisting a lot in the cleaner production of logistics vehicles.
AB - This paper analyzed the NOx and CO2 emissions of HDDV in actual use based on remote-monitored data. First, the validity of remote-monitored data has been demonstrated by aligning and comparing the results of PEMS tests and remote-monitored data and selecting 9 HDDVs for analysis. Then, real-road NOx and CO2 emission characteristics in different seasons and mileages were analyzed. The results showed that the NOx emissions were significantly higher in winter and spring than in other seasons due to the ambient temperatures. Also, the NOx emissions of the tested vehicles showed a slowly increasing tendency as the vehicle's mileage increased, but they were still within the limitations as the mileage exceeded 420,000 km. Distance-based CO2 emissions and fuel consumption varied in different seasons due to the uncertainties of various factors including payload, vehicle speed and acceleration, road grade, etc., while work-based CO2 emissions varied a little. Remote monitoring enables long-term, real-time, and nationwide analysis of heavy-duty vehicular NOx and CO2 emissions in real-world applications, assisting a lot in the cleaner production of logistics vehicles.
KW - CO emissions
KW - emission remote-monitoring
KW - Heavy-duty diesel vehicle
KW - NO emissions
UR - http://www.scopus.com/inward/record.url?scp=85217896892&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2025.145044
DO - 10.1016/j.jclepro.2025.145044
M3 - Article
AN - SCOPUS:85217896892
SN - 0959-6526
VL - 494
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 145044
ER -