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Vehicle fuel consumption prediction based on the data record obtained from an engine control unit

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00001504" target="_blank" >RIV/75081431:_____/19:00001504 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1051/matecconf/201925206009" target="_blank" >http://dx.doi.org/10.1051/matecconf/201925206009</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1051/matecconf/201925206009" target="_blank" >10.1051/matecconf/201925206009</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vehicle fuel consumption prediction based on the data record obtained from an engine control unit

  • Original language description

    Vehicle fuel consumption is one of the most important operational characteristics of road vehicles. The fuel consumption can be determined by different methods under laboratory conditions or by carrying out drive tests. One of the possibilities to quantify a way of vehicle driving is to analyse the selected parameters of the fuel mixture electronic control system. The objective of the paper is to predict fuel consumption via parameters of throttle position and engine speed. The measurement was carried out in the laboratory of the Department of Road and Urban Transport by using a MAHA roller dynamometer. The result is an estimation of accuracy of such fuel consumption determination and its possible utilisation for a system of assessing the vehicle driving style of drivers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    MATEC Web Conference

  • ISBN

  • ISSN

    2261-236X

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    EDP Sciences - Web of Conferences

  • Place of publication

    Parc d'Activités de Courtabœuf, France

  • Event location

    Kazimierz Dolny, Poland

  • Event date

    Nov 22, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000467983800084