Driving condition identification based on HHMM model – Application to the simulation of heavy duty vehicle

2016 ◽  
pp. 670-675 ◽  
Keyword(s):  
Heavy Duty ◽  
Model Application ◽  
Heavy Duty Vehicle ◽  
Driving Condition

scholarly journals Regional and environmental impacts of expanding the heavy duty vehicle charge to the secondary road network in Austria

Empirica ◽  
2012 ◽  
Vol 39 (2) ◽  
pp. 261-278 ◽  
Author(s):  
Karl W. Steininger ◽  
Christoph Schmid ◽  
Alexandra Tobin
Keyword(s):  
Environmental Impacts ◽  
Road Network ◽  
Heavy Duty ◽  
Heavy Duty Vehicle

scholarly journals An estimation of heavy-duty vehicle fleet CO2 emissions based on sampled data

2021 ◽  
Vol 94 ◽  
pp. 102784
Author(s):  
Nikiforos Zacharof ◽  
Georgios Fontaras ◽  
Biagio Ciuffo ◽  
Alessandro Tansini ◽  
Iker Prado-Rujas
Keyword(s):  
Co2 Emissions ◽  
Sampled Data ◽  
Heavy Duty ◽  
Heavy Duty Vehicle ◽  
Vehicle Fleet

Heavy-Duty Vehicle Platoon Formation for Fuel Efficiency

2016 ◽  
Vol 17 (4) ◽  
pp. 1051-1061 ◽  
Author(s):  
Kuo-Yun Liang ◽  
Jonas Martensson ◽  
Karl H. Johansson
Keyword(s):  
Fuel Efficiency ◽  
Heavy Duty ◽  
Heavy Duty Vehicle ◽  
Vehicle Platoon

Experimental Study on the Engine Energy Flow of a Heavy-Duty Vehicle Under  C-WTVC

2021 ◽  
Author(s):  
Guohui Zhu ◽  
Dan Zhen ◽  
Wei Chen ◽  
Qingsong Zuo ◽  
Mingchang Zhao ◽  
...  
Keyword(s):  
Experimental Study ◽  
Energy Flow ◽  
Heavy Duty ◽  
Heavy Duty Vehicle

In-Vehicle Validation of Heavy-Duty Vehicle Fuel Savings via a Hierarchical Predictive Online Controller

2021 ◽  
Author(s):  
Evan Pelletier ◽  
Wushuang Bai ◽  
Miguel Alvarez Tiburcio ◽  
John Borek ◽  
Stephen Boyle ◽  
...  
Keyword(s):  
Heavy Duty ◽  
Fuel Savings ◽  
Heavy Duty Vehicle

scholarly journals Study on fuel consumption and emission characteristics of China VI heavy duty vehicle based on vehicle specific power

2021 ◽  
Vol 268 ◽  
pp. 01055
Author(s):  
Dandan Xu ◽  
Zhongming Gao ◽  
Yong Guo ◽  
Yan Yan ◽  
Fengbin Wang ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Specific Power ◽  
Emission Characteristics ◽  
Heavy Duty ◽  
Emission Data ◽  
Absolute Value ◽  
Driving Time ◽  
Heavy Duty Vehicle ◽  
Measurement Results ◽  
Pollutants Emission

This study selects a China VI heavy duty vehicle for PEMS test, and Based on the measurement results of vehicle specific power (VSP) parameters, the VSP calculation formula applicable to this study is proposed , And analyzes the distribution characteristics of VSP, and at the same time according to the fuel consumption and emission data of the actual road driving process collected by the vehicle, The effect of VSP on vehicle fuel consumption and emission characteristics and the correlation between the two are studied. Results show that VSP of the vehicle are mainly concentrated in the interval -10 ≤ VSP ≤ 10kw / t, in which the vehicle driving time accounts for about 99.3% of the total time; the correlation coefficient between VSP and average fuel consumption is about 0.93, there is a strong correlation; The changes of CO, CO2, NOX and PN with VSP all show as that under the same absolute value of VSP, the pollutants emission rate in the VSP> 0 interval is higher than the VSP <0 interval, in which the correlation between VSP and CO, CO2, PN emissions is more strong, but poorly correlated with NOX emissions.

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