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Fuel Consumption and NO
x
Emission Prediction of Heavy-Duty Diesel Vehicles under Different Test Cycles and Their Sensitivities to Driving Factors
Technical Paper
2020-01-2002
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Due to the rapid development of road infrastructure and vehicle population in China, the fuel consumption and emission of on-road vehicles tested in China World Transient Vehicle Cycle (C-WTVC) cannot indicate the real driving results. But the test results in China Heavy-duty Commercial Vehicle Test Cycle-Coach (CHTC-C) based on the road driving conditions in China are closer to the actual driving data. In this paper, the model for predicting the performance of heavy-duty vehicles is established and validated. The fuel consumption and NOx emission of a Euro VI heavy-duty coach under C-WTVC and CHTC-C tests are calculated by employing the developed model. Furthermore, the fuel consumption of the test coach is optimized and its sensitivity to the driving factors is analyzed. The results show that compared to the tests in C-WTVC, the fuel consumption and NOx emission in CHTC-C increase by 6.5% and 11.2% respectively, while the average exhaust temperature decreases by 24°C and the urea injection timing is delayed by 36s. According to the scattered operation points of the diesel engine, it can be found that the operating points in C-WTVC is more concentrated in the high-efficiency area. By optimizing the gear shift strategy, the fuel consumption in CHTC-C reduces by 1.6%, but still higher than that in C-WTVC. Through the sensitivity analysis of the driving factors, it is demonstrated that the road grade and vehicle mass have the greatest impact on fuel consumption in both C-WTVC and CHTC-C, and an optimization of driveline efficiency and gear shift duration are more effective for reducing fuel consumption in CHTC-C compared with C-WTVC among these driving factors.
Authors
Topic
Citation
Liu, S., Ma, X., Xiao, J., Shuai, S. et al., "Fuel Consumption and NOData Sets - Support Documents
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References
- General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China
- Wang , M. , Zheng , T. , Jin , Y. , Wang , Z. et al. Development of Fuel Consumption Test Method Standards for Heavy-Duty Commercial Vehicles in China SAE Technical Paper 2011-01-2292 2011 10.4271/2011-01-2292
- Yang , Z. and Bandivadekar , A. Light-Duty Vehicle Greenhouse Gas and Fuel Economy Standards 2017
- Ma , R. , He , X. , Zheng , Y. , Zhou , B. et al. Real-World Driving Cycles and Energy Consumption Informed by Large-Sized Vehicle Trajectory Data Journal of Cleaner Production 223 564 574 2019 10.1016/j.jclepro.2019.03.002
- Huo , H. , Yao , Z. , He , K. , and Yu , X. Fuel Consumption Rates of Passenger Cars in China: Labels Versus Real-World Energy Policy 39 11 7130 7135 2011 10.1016/j.enpol.2011.08.031
- Moore , W. , Finch , T. , and Sutton , M. Development of Heavy Duty Diesel Real World Drive Cycles for Fuel Economy Measurements SAE Technical Paper 2013-01-2568 2013 https://doi.org/10.4271/2013-01-2568
- Boriboonsomsin , K. , Durbin , T. , Scora , G. , Johnson , K. et al. Real-World Exhaust Temperature and Engine Load Distributions of On-Road Heavy-Duty Diesel Vehicles in Various Vocations Data in Brief 18 1520 1543 2018 10.1016/j.dib.2018.04.044
- Liu , Y. , Zhou , H. , Xu , Y. , Li , M. et al. Feasibility Study of Using WLTC for Fuel Consumption Certification of Chinese Light-Duty Vehicles SAE Technical Paper 2018-01-0654 2018 https://doi.org/10.4271/2018-01-0654
- General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China
- General Administration of Quality Supervision, Inspection and Quarantine of the People’s Republic of China Fuel Consumption Test Methods for Medium and Heavy-Duty Commercial Vehicles GB 27840 22011
- Saboohi , Y. , and Farzaneh , H. Model for Developing an Eco-Driving Strategy of a Passenger Vehicle Based on the Least Fuel Consumption Applied Energy 86 10 1925 1932 2009 10.1016/j.apenergy.2008.12.017
- Barrand , J. , and Bokar , J. Reducing tire rolling resistance to save fuel and lower emissions SAE Int. J. Passenger Cars-Mech. Sys. 1 1 9 17 2008 10.4271/2008-01-0154
- Wang , L. , Kelly , K. , Walkowicz , K. , and Duran , A. Quantitative Effects of Vehicle Parameters on Fuel Consumption for Heavy-Duty Vehicle SAE Technical Paper, 2015-01-2773 2015 https://doi.org/10.4271/2015-01-2773
- Gao , J. , Chen , H. , Li , Y. , Chen , J. et al. Fuel Consumption and Exhaust Emissions of Diesel Vehicles in Worldwide Harmonized Light Vehicles Test Cycles and their Sensitivities to Eco-Driving Factors Energy conversion and management 196 605 613 2019 10.1016/j.enconman.2019.06.038
- Subramani , L. , Parthasarathy , M. , Balasubramanian , D. , Krishnamoorthy , R. 2018 568 577 10.1016/j.renene.2018.02.134
- Jeffreys , I. , Graves , G. and Roth , M. 2016 85 91 10.1016/j.trd.2015.12.017
- Zhou , R. 2016
- Scappin , F. , Stefansson , S. , Haglind , F. , Andreasen , A. et al. Validation of a Zero-Dimensional Model for Prediction of NO x and Engine Performance for Electronically Controlled Marine Two-Stroke Diesel Engines Applied Thermal Engineering 37 344 352 2012 10.1016/j.applthermaleng.2011.11.047
- Wang , G. , Guo , C. , Wang , C. , and Zhou , H. Effect of Load on the Emission of Heavy Vehicles with two Technical Routes Journal of Guangxi University 42 3 882 888 2017 10.13624/j.cnki.issn.1001-7445.2017.0882
- Morris , M. Factorial Sampling Plans for Preliminary Computational Experiments Technometrics 33 161 174 1991
- Xia , L. , Yang , M. , Li , L. , and Zhang , X. Aerodynamic Design Based on Global Sensitivity Analysis Method Journal of Northwestern Polytechnical University 36 1 49 56 2018
- Hu , Y. , Yang , F. , and Ouyang , M. Fuel Consumption Analysis and Optimizing of a Heavy-Duty Dual Motor Coaxial Series-Parallel Hybrid Lorry Under C-WTVC SAE Technical Paper, 2017-01-2359 2017 https://doi.org/10.4271/2017-01-2359