Development of a novel engine power model to estimate heavy-duty truck fuel consumption

2021 ◽  
pp. 1-23
Author(s):  
Yuheng Kan ◽  
Hao Liu ◽  
Xiaoyun Lu ◽  
Qi Chen
Keyword(s):  
Fuel Consumption ◽  
Power Model ◽  
Heavy Duty ◽  
Heavy Duty Truck ◽  
Engine Power

Calculating Heavy-Duty Truck Energy and Fuel Consumption Using Correlation Formulas Derived From VECTO Simulations

2019 ◽  
Author(s):  
Alessandro Tansini ◽  
Georgios Fontaras ◽  
Biagio Ciuffo ◽  
Federico Millo ◽  
Iker Prado Rujas ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Heavy Duty ◽  
Heavy Duty Truck

Research on Fixed Route Speed Optimization Based on Deep Neural Network and Genetic Algorithm

2020 ◽  
Author(s):  
Ziming Wang ◽  
Shunhuai Chen ◽  
Liang Luo
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Fuel Consumption ◽  
Bp Neural Network ◽  
Optimization Model ◽  
Power Model ◽  
Multi Objective ◽  
Speed Optimization ◽  
Main Engine ◽  
Engine Power

Abstract In the downturn of the shipping industry, optimizing the speed of ships sailing on fixed routes has important practical significance for reducing operating costs. Based on the ship-engine-propeller matching relationship, this paper uses BP neural network to build main engine power model, and correction factors are introduced into the main engine power model to reflect the influence of wind and wave. The Kalman filter algorithm is used to filter the data collected by a river-sea direct ship during the voyage from Zhoushan to Zhangjiagang. The filtered data and the meteorological data obtained from the European Medium-Range Weather Forecast Center are used as the data set of the BP neural network to predict the main engine power. Based on the main engine power model, a multi-objective optimization model of ship speed under the influence of actual wind and waves was established to solve the conflicting goals of reducing sailing time and reducing main engine fuel consumption. This multi-objective model is solved by a non-dominated fast sorting multi-objective genetic algorithm to obtain the Pareto optimal solution set, thereby obtaining the optimal speed optimization scheme. Compared with the original navigation scheme, the navigation time is reduced by 8.83%, and the fuel consumption of the main engine is reduced by 12.95%. The results show that the optimization model can effectively reduce the fuel consumption and control the sailing time, which verifies the effectiveness of the algorithm.

Variable Asymmetric Turbine for Heavy Duty Truck Engines

2013 ◽  
Author(s):  
Sebastian Schmidt ◽  
Martin G. Rose ◽  
Markus Müller ◽  
Siegfried Sumser ◽  
Elias Chebli ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
High Efficiency ◽  
Cost Effective ◽  
Large Mass ◽  
Test Stand ◽  
Heavy Duty ◽  
Passenger Cars ◽  
Large Variability ◽  
Variable Turbine Geometry ◽  
Heavy Duty Truck

Turbochargers with variable turbine geometry (VGT) are established in diesel engines for passenger cars because of the beneficial effect on transient operation. The variability permits the reduction of exhaust back pressure, resulting in lower fuel consumption. There are only a few applications in heavy duty truck engines due to increased mechanical complexity and vulnerability to failure. This paper presents a turbine concept with a simple variability developed for a heavy duty engine. The variability is achieved upstream of the rotor by changing the sectional area of the volute. This can be done through a rotationally movable ring which shifts the circumferential position of the volute tongues. These separate both scrolls of a double segment turbine and can be rotated by an electric actuator. The performance maps measured at the hot gas test stand show the large variability of the flow parameter and the high efficiency levels over the operating range of the variable asymmetric turbine (VAT). The flow field is computed by the use of 3D-CFD simulations in order to analyze the loss-generating mechanisms that occur within the machine. Test runs on an engine test stand demonstrate the high potential of the concept concerning reduction of fuel consumption and a wide scope of realizable EGR rates in order to reduce NOx emissions in a cost-effective way. The resultant large mass flow variability allows the deletion of the waste gate and enables efficiency improvements.

The Effect of Low Viscosity Oil on the Wear, Friction and Fuel Consumption of a Heavy Duty Truck Engine

2013 ◽  
Vol 6 (2) ◽  
pp. 311-319 ◽  
Author(s):  
Phil Carden ◽  
Carl Pisani ◽  
Jon Andersson ◽  
Ian Field ◽  
Emmanuel Lainé ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Heavy Duty ◽  
Heavy Duty Truck ◽  
Low Viscosity ◽  
Wear Friction ◽  
Truck Engine

Time-Resolved Estimation of Fuel Consumption Breakdown of a Heavy Duty Truck Under Actual Road Conditions

2014 ◽  
Vol 7 (2) ◽  
pp. 753-765
Author(s):  
Sermet Yucel ◽  
Melinda Moran Lucking ◽  
Jon Magnuson ◽  
Germana Paterlini ◽  
Benjamin Worel
Keyword(s):  
Fuel Consumption ◽  
Heavy Duty ◽  
Time Resolved ◽  
Heavy Duty Truck

Quasi-Periodic Control Technique for Minimizing Fuel Consumption During Record Vehicle Competition

2013 ◽  
Vol 60 (2) ◽  
pp. 185-197 ◽  
Author(s):  
Paweł Sulikowski ◽  
Ryszard Maronski
Keyword(s):  
Fuel Consumption ◽  
Optimal Control Theory ◽  
Slope Angle ◽  
Control Technique ◽  
Decision Variables ◽  
Aeronautical Engineering ◽  
The One ◽  
Optimal Driving ◽  
The Given ◽  
Engine Power

The problem of the optimal driving technique during the fuel economy competition is reconsidered. The vehicle is regarded as a particle moving on a trace with a variable slope angle. The fuel consumption is minimized as the vehicle covers the given distance in a given time. It is assumed that the run consists of two recurrent phases: acceleration with a full available engine power and coasting down with the engine turned off. The most fuel-efficient technique for shifting gears during acceleration is found. The decision variables are: the vehicle velocities at which the gears should be shifted, on the one hand, and the vehicle velocities when the engine should be turned on and off, on the other hand. For the data of students’ vehicle representing the Faculty of Power and Aeronautical Engineering it has been found that such driving strategy is more effective in comparison with a constant speed strategy with the engine partly throttled, as well as a strategy resulting from optimal control theory when the engine is still active.

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