Use of Alcohols and Biofuels as Automotive Engine Fuel

Author(s):  
Sumit Taneja ◽  
Perminderjit Singh ◽  
Abhishek Sharma ◽  
Gurjeet Singh
1977 ◽  
Vol 99 (2) ◽  
pp. 109-117 ◽  
Author(s):  
R. Prabhakar ◽  
S. J. Citron ◽  
R. E. Goodson

Curve fitting techniques are used to analytically represent experimental data on engine emissions as a function of engine operating variables. A model of the engine-vehicle system is formulated and the optimal control inputs for a given vehicle and specified test cycle are computed. Air-fuel ratio, spark advance, and exhaust gas recirculation are considered as the control variables. The results of the study indicate that considerable improvement over stock car performance can be obtained if the control variables are varied in an optimal manner over the driving cycle.


2012 ◽  
Vol 605-607 ◽  
pp. 92-95
Author(s):  
Ji Hong Zhang ◽  
Mao Feng Shou ◽  
Li Shi

According to the requirements of the automotive professional teaching, design and development of the automobile engine to a variety of fuel injection experiment station. The structure and working principle of the Experiment Station has been introduced, the bench control with microcontroller program and can test on a variety of model engine fuel injection process by simulating a variety of engine fuel injection law.


Author(s):  
Dimitri Bonnet ◽  
Magali Barthès ◽  
Yannick Bailly ◽  
Laurent GIrardot ◽  
David Guyon ◽  
...  

AIAA Journal ◽  
2000 ◽  
Vol 38 ◽  
pp. 1095-1098 ◽  
Author(s):  
Jeonghan Lee ◽  
Kyungseok Cho ◽  
Soogab Lee

1985 ◽  
Author(s):  
J. N. Bowden ◽  
E. C. Owens ◽  
M. E. LePera

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5538
Author(s):  
Bảo-Huy Nguyễn ◽  
João Pedro F. Trovão ◽  
Ronan German ◽  
Alain Bouscayrol

Optimization-based methods are of interest for developing energy management strategies due to their high performance for hybrid electric vehicles. However, these methods are often complicated and may require strong computational efforts, which can prevent them from real-world applications. This paper proposes a novel real-time optimization-based torque distribution strategy for a parallel hybrid truck. The strategy aims to minimize the engine fuel consumption while ensuring battery charge-sustaining by using linear quadratic regulation in a closed-loop control scheme. Furthermore, by reformulating the problem, the obtained strategy does not require the information of the engine efficiency map like the previous works in literature. The obtained strategy is simple, straightforward, and therefore easy to be implemented in real-time platforms. The proposed method is evaluated via simulation by comparison to dynamic programming as a benchmark. Furthermore, the real-time ability of the proposed strategy is experimentally validated by using power hardware-in-the-loop simulation.


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