Optimization of Procedures for Fast Identification of Predictive Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F16%3A00310243" target="_blank" >RIV/68407700:21220/16:00310243 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Optimization of Procedures for Fast Identification of Predictive Models

Original language description

Realistic road profile and real traffic conditions are main indicators for faithful predictive model reaching. Vehicle ride modeling based on realistic circumstances is the first part of stated article. The second part is vehicle model focused on drivetrain with combustion engine produced by GT Power simulation software. Vehicle engine behaviour during the realistic vehicle ride process serves input data for comustion engine system identification procedure by LOLIMOT algorithm. This is the way how to find optimal predictive model of combustion engine for the next model based predictive control application.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JR - Other machinery industry

OECD FORD branch

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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)

Publication year

2016

Confidentiality

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

Name of the periodical

Bulletin of Applied Mechanics

ISSN

1801-1217

e-ISSN

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Volume of the periodical

Vol. 12

Issue of the periodical within the volume

No. 40

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

4

Pages from-to

13-16

UT code for WoS article

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EID of the result in the Scopus database

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