Beijing Heavy-Duty Diesel Vehicle Battery Capacity Conversion and Emission Estimation in 2022

Mengqi Fu, Yanyan Yang, Yong Li, Huanqin Wang, Fajun Yu and Juan Liu ()
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Mengqi Fu: School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
Yanyan Yang: Beijing Municipal Ecological and Environmental Monitoring Center, Beijing 100048, China
Yong Li: China Automotive Technology and Research Center Co., Ltd., Tianjin 300300, China
Huanqin Wang: Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Fajun Yu: Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
Juan Liu: School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China

Sustainability, 2023, vol. 15, issue 14, 1-14

Abstract: Road transport is a scenario for the use of fossil fuels to a large extent, and the process of electrification can slow down this use of fossil fuels. This study analyzes the annual emissions of nitrogen oxides (NO X ) and carbon dioxide (CO 2 ) from heavy-duty diesel vehicles (HDDVs) and the feasibility of electrification in Beijing based on the on-board diagnostics (OBD) of remote monitoring data from more than 9000 HDDVs. The annual NO X and CO 2 emissions of 13 industry types were 44,980.9 and 6,658,722.6 tons in 2022. The highest contributor to these NO X and CO 2 emissions was concrete trucks, accounting for 27.1% and 17.0% of the 13 industry type vehicles. The electrification of concrete trucks can greatly reduce the diesel emissions in Pinggu and other districts and realize regional emission reduction management. The CO 2 emission factor of passenger buses in the Pinggu district was significantly higher than that in other districts, which was 1212.4 g/km, and the electrification of passenger buses could significantly reduce the CO 2 emissions in the Pinggu district. This study investigates HDDVs in Beijing, provides a scientific basis for the electrification management of key models in Beijing, and provides a regional reference for the electrification trend of HDDVs in various countries worldwide.

Keywords: electric vehicles; heavy-duty diesel vehicles; on-board diagnostics; nitrogen oxides; carbon dioxide (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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