Journal of South China University of Technology(Natural Science Edition) ›› 2024, Vol. 52 ›› Issue (2): 136-144.doi: 10.12141/j.issn.1000-565X.230197

• Green & Intelligent Transportation • Previous Articles    

NO x Emission Model of Heavy-Duty Diesel Vehicles Considering Exhaust Temperature Under Real-World Driving Conditions

JI Zhe1,2,3 WANG Xin4 YIN Hang3 FAN Pengfei5 SONG Guohua5   

  1. 1.Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui,China
    2.Science Island Branch,Graduate School,University of Science and Technology of China,Hefei 230326,Anhui,China
    3.State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation,Chinese Research Academy of Environmental Sciences,Beijing 100012,China
    4.School of Traffic Management Engineering,Shandong Police College,Jinan 250200,Shangdong,China
    5.Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China
  • Received:2023-04-07 Online:2024-02-25 Published:2023-06-06
  • Contact: 宋国华(1980-),男,博士,教授,主要从事交通污染物排放控制研究。 E-mail:Ghsong@bjtu.edu.cn
  • About author:吉喆(1983-),男,高级工程师,主要从事移动源污染防治研究。E-mail:jizhe@vecc.org.cn
  • Supported by:
    the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA23010202)

Abstract:

Selective catalytic reduction technology (SCR) is one of the commonly used technologies to reduce nitrogen oxide (NO x ) emissions from heavy-duty diesel vehicles. The efficiency of NO x conversion in the SCR system is closely related to the exhaust temperature. However, the existing NO x emission models primarily focus on vehicle driving conditions, neglecting the correlation with exhaust temperature. Thus, it increases the uncertainty of NO x emission measurement results, and challenges the establishment of emission inventory and the assessment of emission reduction policies. This study established a NO x emission rate library and a model based on actual vehicle operating conditions and measured emission data. Subsequently, an exhaust temperature model utilizing vehicle specific power (VSP) and heat loss coefficient was developed. Based on this, based on the chemical reaction principle in the SCR system, a NO x emission model incorporating exhaust temperature was derived. Finally, the proposed NO x model and the MOVES model (MOtor Vehicle Emission Simulator) were employed to estimate NO x emissions, which are then compared and analyzed against actual emissions. Results demonstrate the effectiveness of the proposed NO x emission model in real-world conditions, with relative errors of 9.1%, 3.9%, and 3.3% observed across three heavy-duty diesel buses. These errors represent a reduction of 24.0, 13.1, and 16.3 percentage points, respectively, when compared to the MOVES model. Additionally, analysis of NO x emission characteristics under different operating conditions reveals that the average NO x conversion rate of heavy diesel trucks is 39.2 percentage points higher than that of diesel buses.

Key words: heavy-duty diesel vehicle, NO x emission, Urea-SCR, exhaust temperature model, operating condition

CLC Number: