scholarly journals Estimating Road Vehicle Instantaneous Fuel Consumption by Aerial Traffic Observation with a Multi-Rotor Drone

2021 ◽  
Vol 1 (2) ◽  
pp. 34-40
Author(s):  
Mohd Azman Abas
Keyword(s):  
Image Processing ◽  
User Interface ◽  
Fuel Consumption ◽  
Correlation Coefficient ◽  
Co2 Emission ◽  
Road Traffic ◽  
Experimental Measurements ◽  
Vehicle Model ◽  
Tracked Vehicle ◽  
Aerial Observation

This study presents a preliminary approach to estimate instantaneous fuel consumption base on image processing from aerial observation using a multi-rotor drone. A drone was deployed over an actual road traffic to capture images of vehicle activities and feed into a program that was developed in this study. The program identifies and tracks the vehicle activities using pixel-based adaptive approach. The vehicle activities were then processed into variables as an input for the generic vehicle model. Coupled with model constants, the generic vehicle model then estimates the instantaneous fuel consumption and CO2 emission and tags the estimated results on the tracked vehicle on the program user-interface. In comparison with the actual experimental measurements, the estimated instantaneous fuel consumption shows a trend with correlation coefficient of 0.741 with higher total fuel usage by 10.6%. The estimation results were useful to map the distribution of fuel consumption over the routes of the observed area in relation to the natural traffic.

Analysis of temperature and altitude effects on the Global Energy Balance during WLTC

2021 ◽  
pp. 146808742110342
Author(s):  
Francisco Payri ◽  
Jaime Martín ◽  
Francisco José Arnau ◽  
Sushma Artham
Keyword(s):  
Energy Balance ◽  
Ambient Temperature ◽  
Fuel Consumption ◽  
Experimental Measurements ◽  
Compression Ignition ◽  
Oil Viscosity ◽  
Compression Ignition Engine ◽  
Global Energy ◽  
Global Energy Balance ◽  
L Compression

In this work, the Global Energy Balance (GEB) of a 1.6 L compression ignition engine is analyzed during WLTC using a combination of experimental measurements and simulations, by means of a Virtual Engine. The energy split considers all the relevant energy terms at two starting temperatures (20°C and 7°C) and two altitudes (0 and 1000 m). It is shown that reducing ambient temperature from 20°C to −7°C decreases brake efficiency by 1% and increases fuel consumption by 4%, mainly because of the higher friction due to the higher oil viscosity, while the effect of increasing altitude 1000 m decreases brake efficiency by 0.8% and increases fuel consumption by 2.5% in the WLTC mainly due to the change in pumping. In addition, GEB shows that ambient temperature is affecting exhaust enthalpy by 4.5%, heat rejection to coolant by 2%, and heat accumulated in the block by 2.5%, while altitude does not show any remarkable variations other than pumping and break power.

High Performance Computing: A Mathematical Aerodynamic Model for Vehicle Driving Simulations

2000 ◽  
Author(s):  
Ben G. Kao ◽  
Ronald H. Miller ◽  
Jeffry A. Greenberg ◽  
Gary S. Strumolo
Keyword(s):  
Real Time ◽  
Design Stage ◽  
Experimental Measurements ◽  
Wind Gust ◽  
Mathematical Function ◽  
Vehicle Model ◽  
Aerodynamic Forces ◽  
Directional Stability ◽  
Aerodynamic Model ◽  
Handling Characteristics

Abstract Aerodynamic lift force can affect automobile handling characteristics and wind gust can affect vehicle directional stability. Experimental measurements of the drag forces are usually made for fuel economy estimation and hence do not cover large wind angles that are important for vehicle stability studies of wind gust or extreme maneuvers. The Virtual Aerodynamic Wind Tunnel (VAWT) which uses PowerFlow is an ideal numerical tool in the early vehicle design stage to provide the aerodynamic forces from a vehicle model. The numerical technique is also advantageous over experimental measurements because it does not need a hardware prototype and the computer model is relatively easier to set up for design iterations. Since the dynamic effects of aerodynamic forces on a vehicle and its driver are best studied with a driving simulator in a real time environment, the VAWT calculated air drag coefficients are reduced to a mathematical function suitable for the real time driving simulations. Available test measurements are used to ensure the practicability of the mathematical function. A vehicle model is then used to test the aerodynamic model and study the effects of the aerodynamics on the vehicle directional stability.

Image Processing using Open Source Tools and their Implementation in the Analysis of Complex Microstructures

2021 ◽  
Vol 58 (8) ◽  
pp. 484-506
Author(s):  
U. P. Nayak ◽  
M. Müller ◽  
D. Britz ◽  
M.A. Guitar ◽  
F. Mücklich
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
User Interface ◽  
Open Source ◽  
Microstructural Analysis ◽  
Microstructural Characterization ◽  
Source Image ◽  
Versatile Tool ◽  
Processing Software ◽  
Image Processing Software

Abstract Considering the dependance of materials’ properties on the microstructure, it is imperative to carry out a thorough microstructural characterization and analysis to bolster its development. This article is aimed to inform the users about the implementation of FIJI, an open source image processing software for image segmentation and quantitative microstructural analysis. The rapid advancement of computer technology in the past years has made it possible to swiftly segment and analyze hundreds of micrographs reducing hours’ worth of analysis time to a mere matter of minutes. This has led to the availability of several commercial image processing software programs primarily aimed at relatively inexperienced users. Despite the advantages like ‘one-click solutions’ offered by commercial software, the high licensing cost limits its widespread use in the metallographic community. Open-source platforms on the other hand, are free and easily available although rudimentary knowledge of the user-interface is a pre-requisite. In particular, the software FIJI has distinguished itself as a versatile tool, since it provides suitable extensions from image processing to segmentation to quantitative stereology and is continuously developed by a large user community. This article aims to introduce the FIJI program by familiarizing the user with its graphical user-interface and providing a sequential methodology to carry out image segmentation and quantitative microstructural analysis.

scholarly journals O<sub>2</sub> : CO<sub>2</sub> exchange ratio for net turbulent flux observed in an urban area of Tokyo, Japan, and its application to an evaluation of anthropogenic CO<sub>2</sub> emissions

2020 ◽  
Vol 20 (9) ◽  
pp. 5293-5308
Author(s):  
Shigeyuki Ishidoya ◽  
Hirofumi Sugawara ◽  
Yukio Terao ◽  
Naoki Kaneyasu ◽  
Nobuyuki Aoki ◽  
...  
Keyword(s):  
Fuel Consumption ◽  
Urban Area ◽  
Co2 Emission ◽  
Co2 Flux ◽  
Co2 Exchange ◽  
Co2 Fluxes ◽  
Diurnal Cycles ◽  
Co2 Concentrations ◽  
Human Respiration ◽  
Two Peaks

Abstract. In order to examine O2 consumption and CO2 emission in a megacity, continuous observations of atmospheric O2 and CO2 concentrations, along with CO2 flux, have been carried out simultaneously since March 2016 at the Yoyogi (YYG) site located in the middle of Tokyo, Japan. An average O2 : CO2 exchange ratio for net turbulent O2 and CO2 fluxes (ORF) between the urban area and the overlaying atmosphere was obtained based on an aerodynamic method using the observed O2 and CO2 concentrations. The yearly mean ORF was found to be 1.62, falling within the range of the average OR values of liquid and gas fuels, and the annual average daily mean O2 flux at YYG was estimated to be −16.3 µmol m−2 s−1 based on the ORF and CO2 flux. By using the observed ORF and CO2 flux, along with the inventory-based CO2 emission from human respiration, we estimated the average diurnal cycles of CO2 fluxes from gas and liquid fuel consumption separately for each season. Both the estimated and inventory-based CO2 fluxes from gas fuel consumption showed average diurnal cycles with two peaks, one in the morning and another one in the evening; however, the evening peak of the inventory-based gas consumption was much larger than that estimated from the CO2 flux. This can explain the discrepancy between the observed and inventory-based total CO2 fluxes at YYG. Therefore, simultaneous observations of ORF and CO2 flux are useful in validating CO2 emission inventories from statistical data.

A comparison on optimal torque vectoring strategies in overall performance enhancement of a passenger car

2016 ◽  
Vol 230 (4) ◽  
pp. 469-488 ◽  
Author(s):  
Seyed Mohammad Mehdi Jaafari ◽  
Kourosh Heidari Shirazi
Keyword(s):  
Fuel Consumption ◽  
Ride Comfort ◽  
Stability Control ◽  
Electronic Stability Control ◽  
Slip Angle ◽  
Vehicle Model ◽  
Side Slip Angle ◽  
Wheel Drive ◽  
Torque Vectoring ◽  
Four Wheel Drive

In this paper, a comparison is made on different torque vectoring strategies to find the best strategy in terms of improving handling, fuel consumption, stability and ride comfort performances. The torque vectoring differential strategies include superposition clutch, stationary clutch, four-wheel drive and electronic stability control. The torque vectoring differentials are implemented on an eight-DOF vehicle model and controlled using optimized fuzzy-based controllers. The vehicle model assisted with the Pacejka tyre model, an eight-cylinder dynamic model for engine, and a five-speed transmission system. Bee’s Algorithm is employed to optimize the fuzzy controller to ensure each torque vectoring differential works in its best state. The controller actuates the electronic clutches of the torque vectoring differential to minimize the yaw rate error and limiting the side-slip angle in stability region. To estimate side-slip angle and cornering stiffness, a combined observer is designed based on full order observer and recursive least square method. To validate the results, a realistic car model is built in Carsim package. The final model is tested using a co-simulation between Matlab and Carsim. According to the results, the torque vectoring differential shows better handling compared to electronic stability control, while electronic stability control is more effective in improving the stability in critical situation. Among the torque vectoring differential strategies, stationary clutch in handling and four-wheel drive in fuel consumption as well as ride comfort have better operation and more enhancements.

Mixing of a Granular Material in a Bidimensional Rotating Drum

1994 ◽  
Vol 367 ◽  
Author(s):  
Eric Clement ◽  
Jean Rajchenbach ◽  
Jacques Duran
Keyword(s):  
Image Processing ◽  
Granular Material ◽  
Dispersion Property ◽  
Experimental Measurements ◽  
Rotating Drum ◽  
Mixing Properties ◽  
Tracer Particles ◽  
Segregation Effect ◽  
Mixing Dynamics ◽  
Processing Device

AbstractWe report experimental measurements on mixing properties in bidimensional rotating drum. Using an image processing device, we follow the trajectories of tracer particles in a monodisperse assembly of beads. Tracer particles with different size ratios exhibit a violent segregation effect: a smaller particle has a tendency to stay in the centre and a larger one will rather dwell on the edges. Furthermore, for a tracer of identical size, we evidence a specific dispersion property where the centre and the edges are competing attractors of the mixing dynamics.

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