System Optimization for a 2-Stroke Diesel Engine with a Turbo Super Configuration Supporting Fuel Economy Improvement of Next Generation Engines

2014 ◽  
Author(s):  
Pavel Brynych ◽  
Jan Macek ◽  
Pascal Tribotte ◽  
Gaetano De Paola ◽  
Cyprien Ternel
Keyword(s):  
Diesel Engine ◽  
Fuel Economy ◽  
System Optimization ◽  
Next Generation ◽  
Fuel Economy Improvement

Diesel Engine Fuel Economy Improvement Enabled by Supercharging and Downspeeding

2012 ◽  
Vol 5 (2) ◽  
pp. 483-493 ◽  
Author(s):  
Sean Keidel ◽  
Philip Wetzel ◽  
Brandon Biller ◽  
Karen Bevan ◽  
Aaron Birckett
Keyword(s):  
Diesel Engine ◽  
Fuel Economy ◽  
Engine Fuel ◽  
Fuel Economy Improvement

Modeling of Compressed Air Hybrid Operation for a Heavy Duty Diesel Engine

2008 ◽  
Author(s):  
Xiaoyong Wang ◽  
Tsu-Chin Tsao ◽  
Chun Tai ◽  
Hyungsuk Kang ◽  
Paul N. Blumberg
Keyword(s):  
Diesel Engine ◽  
Fuel Economy ◽  
Internal Combustion Engines ◽  
Compressed Air ◽  
Valve Timing ◽  
Heavy Duty ◽  
Vehicle Simulation ◽  
Heavy Duty Diesel Engine ◽  
Fuel Economy Improvement ◽  
Heavy Duty Diesel

Internal combustion engines can be modified to operate regenerative braking cycles by using compressed air power. This paper presents a particular air hybridization design from among many possible configurations. The engine cycles are enabled by a highly flexible engine valvetrain, which actuates engine valves to generate desired torque with optimal efficiency. A lumped parameter model is developed first to investigate the cylinder-tank mass and energy interaction based on thermodynamic relationships and engine piston kinematics. Special consideration is given to the engine valve timing and air flow. A high fidelity, detailed model using the commercially available GT-Power software is developed for a commercial 10.8 liter heavy-duty diesel engine with a 280 liter air tank in order to capture the effects of engine friction, heat transfer, gas dynamics, etc. The model is used to develop optimal valve timing for engine control. The established engine maps are incorporated into the ADVISOR vehicle simulation package to evaluate the potential fuel economy improvement for a refuse truck under a variety of driving cycles. Depending on the particular driving cycle, the simulation has shown a potential 4% – 18% fuel economy improvement over the truck equipped with the conventional baseline diesel engine.

Modeling of Compressed Air Hybrid Operation for a Heavy Duty Diesel Engine

2009 ◽  
Vol 131 (5) ◽  
Author(s):  
Xiaoyong Wang ◽  
Tsu-Chin Tsao ◽  
Chun Tai ◽  
Hyungsuk Kang ◽  
Paul N. Blumberg
Keyword(s):  
Diesel Engine ◽  
Fuel Economy ◽  
Second Law Of Thermodynamics ◽  
Lumped Parameter Model ◽  
Compressed Air ◽  
Heavy Duty ◽  
Vehicle Simulation ◽  
Heavy Duty Diesel Engine ◽  
Fuel Economy Improvement ◽  
Heavy Duty Diesel

This paper presents the analysis and modeling of a 10.8 l heavy-duty diesel engine modified for operating compressed air hybrid engine cycles. A lumped parameter model is developed to first investigate the engine cylinder-air tank mass and energy interaction. The efficiency of compressed air energy transfer is defined based on the second law of thermodynamics. A high fidelity model is developed using commercially available software (GT-POWER) to capture the effects of engine friction, heat transfer, gas dynamics, etc. Engine valve timing for optimal efficiency in air regeneration and the corresponding engine speed-torque maps are established using the detailed engine model. The compressed air hybrid engine maps are then incorporated into vehicle simulation (ADVISOR) to evaluate the potential fuel economy improvement for a refuse truck under a variety of driving cycles. Depending on the particular driving cycle, the simulation has shown a potential 4–18% fuel economy improvement over the truck equipped with the conventional baseline diesel engine.

The Use of Neural Nets for Matching Fixed or Variable Geometry Compressors With Diesel Engines

2003 ◽  
Vol 125 (2) ◽  
pp. 572-579 ◽  
Author(s):  
S. A. Nelson ◽  
Z. S. Filipi ◽  
D. N. Assanis
Keyword(s):  
Diesel Engine ◽  
System Optimization ◽  
Design Tool ◽  
Neural Nets ◽  
Additional Parameter ◽  
Mathematical Function ◽  
Neural Net ◽  
Variable Geometry ◽  
Entire Family ◽  
Wide Range

A technique which uses trained neural nets to model the compressor in the context of a turbocharged diesel engine simulation is introduced. This technique replaces the usual interpolation of compressor maps with the evaluation of a smooth mathematical function. Following presentation of the methodology, the proposed neural net technique is validated against data from a truck type, 6-cylinder 14-liter diesel engine. Furthermore, with the introduction of an additional parameter, the proposed neural net can be trained to simulate an entire family of compressors. As a demonstration, a family of compressors of different sizes is represented with a single neural net model which is subsequently used for matching calculations with intercooled and nonintercooled engine configurations at different speeds. This novel approach readily allows for evaluation of various options within a wide range of possible compressor configurations prior to prototype production. It can also be used to represent the variable geometry machine regardless of the method used to vary compressor characteristics. Hence, it is a powerful design tool for selection of the best compressor for a given diesel engine system and for broader system optimization studies.

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