Reducing Fuel Consumption, Noxious Emissions and Radiated Noise by Selection of the Optimal Control Strategy of a Diesel Engine

2011 ◽  
Author(s):  
Daniela Siano ◽  
Fabio Bozza ◽  
Michela Costa
Keyword(s):  
Optimal Control ◽  
Diesel Engine ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Optimal Control Strategy ◽  
Radiated Noise ◽  
Selection Of

Equivalent fuel consumption optimal control of a series hybrid electric vehicle

2009 ◽  
Vol 223 (8) ◽  
pp. 1003-1018 ◽  
Author(s):  
J-P Gao ◽  
G-M G Zhu ◽  
E G Strangas ◽  
F-C Sun
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Supervisory Control ◽  
Hybrid Electric Vehicle ◽  
Combustion Engine ◽  
Optimal Control Strategy ◽  
Equivalent Fuel ◽  
Hybrid Electric ◽  
Equivalent Fuel Consumption

Improvements in hybrid electric vehicle fuel economy with reduced emissions strongly depend on their supervisory control strategy. In order to develop an efficient real-time supervisory control strategy for a series hybrid electric bus, the proposed equivalent fuel consumption optimal control strategy is compared with two popular strategies, thermostat and power follower, using backward simulations in ADVISOR. For given driving cycles, global optimal solutions were also obtained using dynamic programming to provide an optimization target for comparison purposes. Comparison simulations showed that the thermostat control strategy optimizes the operation of the internal combustion engine and the power follower control strategy minimizes the battery charging and discharging operations which, hence, reduces battery power loss and extends the battery life. The equivalent fuel consumption optimal control strategy proposed in this paper provides an overall system optimization between the internal combustion engine and battery efficiencies, leading to the best fuel economy.

Optimal control of a turbocharged direct injection diesel engine by direct method optimization

2018 ◽  
Vol 20 (6) ◽  
pp. 640-652 ◽  
Author(s):  
Jose Manuel Luján ◽  
Carlos Guardiola ◽  
Benjamín Pla ◽  
Alberto Reig
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Fuel Efficiency ◽  
Optimization Method ◽  
Operating Conditions ◽  
Experimental Results ◽  
Pollutant Emissions ◽  
Engine Fuel ◽  
Optimal Control Strategy

This work studies the effect and performance of an optimal control strategy on engine fuel efficiency and pollutant emissions. An accurate mean value control-oriented engine model has been developed and experimental validation on a wide range of operating conditions was carried out. A direct optimization method based on Euler’s collocation scheme is used in combination with the above model in order to address the optimal control of the engine. This optimization method provides the optimal trajectories of engine controls (fueling rate, exhaust gas recirculation valve position, variable turbine geometry position and start of injection) to reproduce a predefined route (speed trajectory including variable road grade), minimizing fuel consumption with limited [Formula: see text] emissions and a low soot stamp. This optimization procedure is performed for a set of different [Formula: see text] emission limits in order to analyze the trade-off between optimal fuel consumption and minimum emissions. Optimal control strategies are validated in an engine test bench and compared against engine factory calibration. Experimental results show that significant improvements in both fuel efficiency and emissions reduction can be achieved with optimal control strategy. Fuel savings at about 4% and less than half of the factory [Formula: see text] emissions were measured in the actual engine, while soot generation was still low. Experimental results and optimal control trajectories are thoroughly analyzed, identifying the different strategies that allowed those performance improvements.

3D Road Geometry Based Optimal Truck Fuel Economy

2007 ◽  
Author(s):  
Wei Huang ◽  
David M. Bevly ◽  
Xiaopeng Li ◽  
Steve Schnick
Keyword(s):  
Optimal Control ◽  
Travel Time ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Optimal Control Strategy ◽  
The Road ◽  
Powertrain Control ◽  
Road Geometry ◽  
On The Road ◽  
Class 8 Truck

This paper investigates the benefit of using a 3D road geometry based optimal powertrain control strategy in reducing the fuel consumption of heavy trucks. The optimal control, which applies a sequential quadratic programming (SQP) method, is designed to predict the optimal truck velocity trajectory, based on the road geometry with the consideration of fuel consumption and travel time. The fuel consumption baseline is developed based on an engineering drive cycle. Computer simulations of a Class 8 truck are conducted with Intermap real 3D road geometry. Simulation results show that the optimal control strategy is able to reduce the fuel consumption with equal or even shorter travel time, when compared to the defined baseline.

The Instantaneous Optimal Control Strategy of Parallel Hybrid Loader

2013 ◽  
Vol 380-384 ◽  
pp. 467-471
Author(s):  
Xiao Hua Zeng ◽  
Ge Bai ◽  
Jin Xin Wang ◽  
Zhen Ping Zhou
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Control Strategy ◽  
Optimal Allocation ◽  
Electric Energy ◽  
Target Function ◽  
Optimal Control Strategy ◽  
Motor Torque ◽  
Parallel Hybrid ◽  
Instantaneous Optimal Control

In this paper, the instantaneous optimal control strategy of parallel hybrid loader is presented. The aim is to achieve the real time optimal allocation of internal combustion engine (ICE) torque and motor torque in any driving cycle for loader. Thus, all combinations of the ICE torque and the motor torque is determined in any demand torque. Then integrated instantaneous fuel consumption (IIFC) is calculated as a target function, by establishing the equivalent relationship between the electric energy consumption of battery and the fuel consumption, which is converted to the electric energy. When the minimum integrated instantaneous fuel consumption is found, the instantaneous optimal allocation of ICE torque and the motor torque is achieved. Finally in order to verify the functionality of the control strategy, the vehicle and the control algorithm co-simulation model is built on AMESim and Matlab/Simulink platforms. The simulation results show that the strategy is able to improve the fuel economy by more than 10% while ensuring the vehicle power performance.

Multiple-Objective Optimal Control of Hybrid Electric Vehicle

2013 ◽  
Vol 753-755 ◽  
pp. 1659-1664
Author(s):  
Jun Yan
Keyword(s):  
Optimal Control ◽  
Fuel Consumption ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric Vehicles ◽  
Optimal Control Strategy ◽  
Parallel Hybrid Electric Vehicle ◽  
Hybrid Electric ◽  
Fuel Consumption And Emissions

To reduce the fuel consumption and exhaust (HC, CO) emissions of parallel hybrid electric vehicle, the control strategy of the hybrid electric vehicle is studied in this paper. First it briefly analyzes the structure and working principle of the parallel hybrid electric vehicle drive system. Then a cost function is proposed which explains the fuel consumption and emissions. According to the minimum principle the minimum of the cost function can be got, consequently, the optimal control strategy can be obtained. Furthermore, in order to verify the effectiveness of the optimal control strategy, in MATLAB environment, it establishes a dynamic simulation model for hybrid electric vehicles. Through a comparative study between the optimal control strategy on and the traditional rules control strategy, the results of experiment it reveals that the optimal control strategy can effectively reduces fuel consumption and emissions of hybrid electric vehicles.

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