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Predictive control of commercial e-vehicle using a priori route information

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F18%3A00321010" target="_blank" >RIV/68407700:21220/18:00321010 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.inderscience.com/dev/search/index.php?mainAction=search&action=record&rec_id=90362&prevQuery=&ps=10&m=or" target="_blank" >http://www.inderscience.com/dev/search/index.php?mainAction=search&action=record&rec_id=90362&prevQuery=&ps=10&m=or</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1504/IJPT.2018.10011446" target="_blank" >10.1504/IJPT.2018.10011446</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Predictive control of commercial e-vehicle using a priori route information

  • Original language description

    The driving range of the vehicle is usually an issue due to the limited energy storage capacity of the acu-pack. Thus, the e-vehicle control towards energy consumption decrease is of extreme importance. The known information about route properties can be used to plan torque/braking profile in an optimal way. Several approaches are compared. The first is design approach based on model predictive control (MPC) in combination with prior (before the trip starts) dynamic optimisation, the other is model-predictive control using hard limits based on route shape analyses and legal limits. The classical, optimised PID control is used as reference driver. A detailed driving range estimation model of a Fiat Doblo e-vehicle is the basis, including the main e-vehicle subsystem 1D model, e-motor, battery pack, air-conditioning/heating and EVCU. The model calibration is based on real vehicle measurements.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    20301 - Mechanical engineering

Result continuities

  • Project

    <a href="/en/project/TE01020020" target="_blank" >TE01020020: Josef Bozek Competence Centre for Automotive Industry</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Powertrains

  • ISSN

    1742-4275

  • e-ISSN

  • Volume of the periodical

    2018

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    19

  • Pages from-to

    53-71

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85043768016