header
Local cover image
Local cover image
Image from OpenLibrary

Impact of speed and acceleration on instantaneous fuel consumption rates using matlab / Peter Ramzy Zaki Bakhit ; Supervised Laila Salah Eldin Radwan , Dalia Galal Said

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Peter Ramzy Zaki Bakhit , 2015Description: 103 P. : charts , facsimiles ; 30cmOther title:
  • تأثير السرعة والعجلة على معدلات استهلاك الوقود اللحظية من خلال نموذج ماتلاب [Added title page title]
Subject(s): Online resources: Available additional physical forms:
  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering Summary: The main goal of this research is to introduce and validate microscopic fuel consumption models named Virginia Tech Comprehensive Power based Fuel Consumption Models (VT_CPFMs). These models estimate the rate of fuel consumption for light duty vehicles on different roads. The VT-CPFMs are established to be easily calibrated using publically available data without necessity to collect in-field instantaneous data. The study additionally determines the relationship between different speeds and rates of fuel consumption. Furthermore, a model was generated to calculate the fuel consumption as a function of speed to get the most economic speed range. Driving with such speeds achieves a high rate of fuel savings and thus reduces the operating cost. Moreover, the study indicated the influence of different acceleration types (mild, normal and aggressive) on fuel consumption using MATLAB® model. Finally, it was found that the results of fuel consumption obtained from the VT_CPFMs can be applied on Egyptian roads. It was also proved that optimal speeds range from 60 to 80 km/h. The study demonstrated that as the level of aggressiveness for acceleration maneuvers increases, the fuel-consumption per maneuver decreases because the vehicle spends less time accelerating
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.M.Sc.2015.Pe.I (Browse shelf(Opens below)) Not for loan 01010110067527000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.05.M.Sc.2015.Pe.I (Browse shelf(Opens below)) 67527.CD Not for loan 01020110067527000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Civil Engineering

The main goal of this research is to introduce and validate microscopic fuel consumption models named Virginia Tech Comprehensive Power based Fuel Consumption Models (VT_CPFMs). These models estimate the rate of fuel consumption for light duty vehicles on different roads. The VT-CPFMs are established to be easily calibrated using publically available data without necessity to collect in-field instantaneous data. The study additionally determines the relationship between different speeds and rates of fuel consumption. Furthermore, a model was generated to calculate the fuel consumption as a function of speed to get the most economic speed range. Driving with such speeds achieves a high rate of fuel savings and thus reduces the operating cost. Moreover, the study indicated the influence of different acceleration types (mild, normal and aggressive) on fuel consumption using MATLAB® model. Finally, it was found that the results of fuel consumption obtained from the VT_CPFMs can be applied on Egyptian roads. It was also proved that optimal speeds range from 60 to 80 km/h. The study demonstrated that as the level of aggressiveness for acceleration maneuvers increases, the fuel-consumption per maneuver decreases because the vehicle spends less time accelerating

Issued also as CD

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

Local cover image