Dynamic Optimization of Diesel Air-Path Control for Reduced Pumping Work

2016 ◽  
Author(s):  
Thomas A. Brewbaker ◽  
Michiel van Nieuwstadt
Keyword(s):  
Cost Function ◽  
Fuel Consumption ◽  
Test Procedure ◽  
Pressure Control ◽  
Potential Method ◽  
Boost Pressure ◽  
Control Error ◽  
Path Control ◽  
Three State Model ◽  
Numerical Dynamic Programming

One potential method to reduce fuel consumption in diesel engines with variable geometry turbines (VGT) and exhaust gas recirculation (EGR) is to reduce the transient engine pumping work through improved EGR-VGT control. Numerical dynamic programming is applied to investigate optimal EGR-VGT control policies for reduced pumping work on a three-state model of a 6.7-liter medium-duty diesel engine. Optimality is defined by a multi-objective cost function that penalizes pumping work, EGR rate control error, and boost pressure control error. Multiple dynamic programs, each with a different set of cost function weights, are performed over an acceleration in the Heavy-Duty Federal Test Procedure cycle to generate the optimal trade-off between the stated objectives. Additionally, a production-representative EGR-VGT controller is simulated, and the resulting suboptimal performance is compared to the optimal frontier to establish the potential fuel consumption benefit of improved EGR-VGT control.

scholarly journals Boost Pressure Control Strategy to Account for Transient Behavior and Pumping Losses in a Two-Stage Turbocharged Air Path Concept

Energies ◽  
2016 ◽  
Vol 9 (7) ◽  
pp. 530 ◽  
Author(s):  
Thivaharan Albin ◽  
Dennis Ritter ◽  
Norman Liberda ◽  
Dirk Abel
Keyword(s):  
Control Strategy ◽  
Transient Behavior ◽  
Pressure Control ◽  
Boost Pressure ◽  
Two Stage

An adaptive equivalent consumption minimization strategy considering catalyst temperature for plug-in hybrid electric vehicle

2021 ◽  
pp. 095440702110434
Author(s):  
Tao Deng ◽  
Ke Zhao ◽  
Haoyuan Yu
Keyword(s):  
Fuel Consumption ◽  
Electric Vehicle ◽  
Fuel Economy ◽  
Hybrid Electric Vehicle ◽  
Test Procedure ◽  
Catalyst Temperature ◽  
Equivalent Factor ◽  
Simulation Results ◽  
Hybrid Electric ◽  
Equivalent Consumption Minimization Strategy

In the process of sufficiently considering fuel economy of plug-in hybrid electric vehicle (PHEV), the working time of engine will be reduced accordingly. The increased frequency that the three-way catalytic converter (TWCC) works in abnormal operating temperature will lead to the increasing of emissions. This paper proposes the equivalent consumption minimization strategy (ECMS) to ensure the catalyst temperature of PHEV can work in highly efficient areas, and the influence of catalyst temperature on fuel economy and emissions is considered. The simulation results show that the fixed equivalent factor of ECMS has great limitations for the underutilized battery power and the poor fuel economy. In order to further reduce fuel consumption and keep the emission unchanged, an equivalent factor map based on initial state of charge (SOC) and vehicle mileage is established by the genetic algorithm. Furthermore, an Adaptive changing equivalent factor is achieved by using the following strategy of SOC trajectory. Ultimately, adaptive equivalent consumption minimization strategy (A-ECMS) considering catalyst temperature is proposed. The simulation results show that compared with ordinary ECMS, HC, CO, and NOX are reduced by 14.6%, 20.3%, and 25.8%, respectively, which effectively reduces emissions. But the fuel consumption is increased by only 2.3%. To show that the proposed method can be used in actual driving conditions, it is tested on the World Light Vehicle Test Procedure (WLTC).

Smart rule-based diesel engine control strategies by means of predictive driving information

2019 ◽  
Vol 20 (10) ◽  
pp. 1047-1058 ◽  
Author(s):  
Giovanni Vagnoni ◽  
Markus Eisenbarth ◽  
Jakob Andert ◽  
Giuseppe Sammito ◽  
Joschka Schaub ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Control Strategies ◽  
Control Unit ◽  
Future Research ◽  
Engine Control ◽  
Test Cycle ◽  
Rule Based ◽  
Prediction Horizon ◽  
Light Duty ◽  
Path Control

The increasing connectivity of future vehicles allows the prediction of the powertrain operational profiles. This technology will improve the transient control of the engine and its exhaust gas aftertreatment systems. This article describes the development of a rule-based algorithm for the air path control, which uses the knowledge of upcoming driving events to reduce especially [Formula: see text] and particulate (soot) emissions. In the first section of this article, the boosting and the lean [Formula: see text] trap systems of a diesel powertrain are investigated as relevant sub-systems for shorter prediction horizons, suitable for Car-to-X communication range. Reference control strategies, based on state-of-the-art engine control unit algorithms and suitable predictive control logics, are compared for the two sub-systems in a model in the loop simulation environment. The simulation driving cycles are based on Worldwide harmonized Light-duty Test Cycle and Real Driving Emissions regulations. Due to the shorter, and consequently more probable, prediction horizon and the demonstrated emission improvements, a dedicated rule-based algorithm for the air path control is developed and benchmarked in the Worldwide harmonized Light-duty Test Cycle as described in the second part of this article. Worldwide harmonized Light-duty Test Cycle test results show an improvement potential for engine-out soot and [Formula: see text] emissions of up to 5.2% and 1.2%, respectively, for the air path case and a reduction of the average fuel consumption in Real Driving Emissions of up to 1% for the lean NOx trap case. In addition, the developed rule-based algorithm allows the adjustment of the desired NOx–soot trade-off, while keeping the fuel consumption constant. The study concludes with brief recommendations for future research directions, as for example, the introduction of a prediction module for the estimation of the vehicle operational profile in the prediction horizon.

1.25 L Turbocharged Diesel for Demanding Non-Road Applications

2017 ◽  
Author(s):  
David M. Sykes ◽  
Andrew L. Carpenter ◽  
Jerald G. Wagner ◽  
John M. Gattoni ◽  
Kyle I. Merical ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Rapid Development ◽  
Development Program ◽  
Dry Weight ◽  
Pressure Control ◽  
Particulate Filter ◽  
Intake Manifold ◽  
Boost Pressure ◽  
Design Phase ◽  
Automotive Engine

A design process was defined and implemented for the rapid development of purpose-built, heavy-fueled engines using modern CAE tools. The first exercise of the process was the clean sheet design of the 1.25 L, three-cylinder, turbocharged AMD45 diesel engine. The goal of the AMD45 development program was to create an engine with the power density of an automotive engine and the durability of an industrial/military diesel engine. The AMD45 engine was designed to withstand 8000 hours of operation at 4500 RPM and 45 kW output, while weighing less than 100 kg. Using a small design team, the total development time to a working prototype was less than 15 months. Following the design phase, the AMD45 was fabricated and assembled for first prototype testing. The minimum-material-added design approach resulted in a lightweight engine with a dry weight 89 kg for the basic engine with fuel system. At 4500 RPM and an intake manifold pressure of 2.2 bar abs., the AMD45 produced 62 kW with a peak brake fuel-conversion efficiency greater than 34%. Predictions of brake power and efficiency from the design phase matched to within 5% of experimental values. When the engine is detuned to 56 kW maximum power, the use of multi-pulse injection and boost pressure control allowed the AMD45 to achieve steady state emissions (as measured over the ISO 8178 C1 test cycle) of CO and NOx+NMHC that met the EPA Tier 4 Non-road standard without exhaust after-treatment, with the exception of idle testing. PM emissions were also measured, and a sulfur-tolerant diesel particulate filter has been designed for PM after-treatment.

scholarly journals Adaptive Boost Pressure Control for Four-Stroke Diesel Engine Marine Application in the Presence of Dynamic Uncertainties

2019 ◽  
Vol 27 (1) ◽  
pp. 221-233 ◽  
Author(s):  
Sergey Samokhin ◽  
Jari Hyytia ◽  
Kai Zenger ◽  
Olli Ranta ◽  
Otto Blomstedt ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Pressure Control ◽  
Boost Pressure ◽  
Marine Application ◽  
Dynamic Uncertainties
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