Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2023, Vol. 14 ›› Issue (3): 365-374.DOI: 10.3969/j.issn.1674-8484.2023.03.012

• Automotive Energy Efficiency and Environment Protection • Previous Articles     Next Articles

Parameter relationship between exhaust emissions and driving behaviors for commercial heavy-duty vehicles

XU Ting(), CHEN Shuyi, PENG Chong, CHEN Yixin(), LIANG Zekai, ZHAO Lei   

  1. College of Transportation Engineering, Chang’an University, Xi’an 710064, China
  • Received:2022-10-05 Revised:2023-03-10 Online:2023-06-30 Published:2023-06-30
  • Contact: CHEN Yixin E-mail:annabelxu@163.com;chenyixin13@163.com

Abstract:

The exhaust emissions were analyzed for commercial heavy-duty vehicles to reduce exhaust emissions with ecological driving behavior. Five exhaust emissions, namely CO2, CO, NOx (nitrogen oxides), THC (total hydrocarbon), and PM (particulate matter), were measured at different speeds and operating conditions; The influence of abnormal driving on emissions were also analysed. The cumulative average value of the data clustered according to the speed was used to divide the model construction interval. The speed, acceleration and Vehicle Specific Power (VSP) were selected as the independent variables of the emission model. Ternary linear regression equations were constructed to reflect the relationship between driving behavior and emissions. The results show that the multiple decision coefficients of the prediction equations are more than 0.5, and the prediction data passes the paired T test; In emission prediction equations, the acceleration has a significant impact on five exhaust emissions. Suggestions on reducing pollutant emissions, optimizing driving behaviors, and ecological driving behaviors are put forward.

Key words: vehicle exhaust emissions, ecological driving behaviors, heavy-duty vehicles, regression analysis, vehicle specific power (VSP)

CLC Number: