Comparison between the WLTC and the FTP-75 driving cycles applied to a 1.4 L light-duty vehicle running on ethanol

2020 ◽  
Author(s):  
Maria F. P. Mazer ◽  
Leonardo S. Hatschbach ◽  
Igor R. dos Santos ◽  
Juliano P. Silveira ◽  
Roberto A. Garlet ◽  
...  
2018 ◽  
Author(s):  
Tadeu Cavalcante Cordeiro de Melo ◽  
Sérgio William Botero ◽  
Rogério Nascimento de Carvalho ◽  
Antônio Carlos Scardini Villela ◽  
Guilherme Bastos Machado ◽  
...  

2020 ◽  
Vol 13 (4) ◽  
pp. 102-113
Author(s):  
Loay M. Mubarak ◽  
Ahmed Al-Samari

This manuscript instrumented two light-duty passenger cars to construct real-world driving cycles for the Baghdad-Basrah highway road in Iraq using a data logger. The recorded data is conducted to obtain typical speed profiles for each vehicle. Each of the recruited vehicles is modelized using Advanced Vehicle Simulator and conducted on the associated created driving cycle to investigate fuel economy and analyze performance. Moreover, to inspect the influence of driving behavior on fuel consumption and emissions, the simulation process is re-implemented by substituting the conducted real-world driving cycle. The analyses are done for the first and second stages of simulation predictions to explore the fuel-penalty of aggressive driving behavior. The analysis for substitution predictions showed that fuel consumption could be reduced by 12.8% due to conducting vehicle under the more consistent real-world driving cycle. However, conducting vehicle under the more aggressive one would increase fuel consumption by 14.6%. The associated emissions change prediction due to the substitution is also achieved and presented.


Author(s):  
Stefano d’Ambrosio ◽  
Roberto Vitolo

The contribution of the tire-road slip of traction wheels to the total resistance opposing the motion of a light-duty commercial vehicle has been investigated through the simulation of several homologation and custom driving cycles. The calculation of the contribution of the tire slip losses was based on the estimation of the longitudinal tire slip, by means of Pacejka’s MF5.2 tire model. In this work, the computational steps required to evaluate this contribution were implemented in a previously developed fuel consumption simulation tool. Simulations were performed under several vehicle loading conditions and tire inflation pressures on traction and non-traction wheels, and considering different tire-road adherence conditions, in order to obtain a characterization of the tire slip losses over a wide range of working conditions. An analysis of the results shows that, although the contribution of tire slip losses to the total vehicle energy demand and fuel consumption may be relevant – especially under low-load, low adherence conditions – the sensitivity of the average on-cycle vehicle energy/fuel consumption to changes in the tire inflation pressure is only affected slightly by tire slip losses. Therefore, tire slip losses can be neglected in practice, when the aim of a simulation is to optimize the tire pressure to achieve average vehicle working conditions over a driving cycle.


2016 ◽  
Vol 255 (1-2) ◽  
pp. 391-420 ◽  
Author(s):  
Boxiao Chen ◽  
Erica Klampfl ◽  
Margaret Strumolo ◽  
Yan Fu ◽  
Xiuli Chao ◽  
...  

Author(s):  
Saeed Vasebi ◽  
Yeganeh M. Hayeri ◽  
Constantine Samaras ◽  
Chris Hendrickson

Gasoline is the main source of energy used for surface transportation in the United States. Reducing fuel consumption in light-duty vehicles can significantly reduce the transportation sector’s impact on the environment. Implementation of emerging automated technologies in vehicles could result in fuel savings. This study examines the effect of automated vehicle systems on fuel consumption using stochastic modeling. Automated vehicle systems examined in this study include warning systems such as blind spot warning, control systems such as lane keeping assistance, and information systems such as dynamic route guidance. We have estimated fuel savings associated with reduction of accident and non-accident-related congestion, aerodynamic force reduction, operation load, and traffic rebound. Results of this study show that automated technologies could reduce light-duty vehicle fuel consumption in the U.S. by 6% to 23%. This reduction could save $60 to $266 annually for the owners of vehicles equipped with automated technologies. Also, adoption of automated vehicles could benefit all road users (i.e., conventional vehicle drivers) up to $35 per vehicle annually (up to $6.2 billion per year).


2018 ◽  
Vol 68 (6) ◽  
pp. 564-575 ◽  
Author(s):  
Qing Li ◽  
Fengxiang Qiao ◽  
Lei Yu ◽  
Shuyan Chen ◽  
Tiezhu Li

2018 ◽  
Author(s):  
Hamza Shafique ◽  
Brad Richard ◽  
Martha Christenson ◽  
Sandra Bayne

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