Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F21%3APU138580" target="_blank" >RIV/00216305:26620/21:PU138580 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9335535" target="_blank" >https://ieeexplore.ieee.org/document/9335535</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TVT.2021.3054170" target="_blank" >10.1109/TVT.2021.3054170</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles

Popis výsledku v původním jazyce

This article describes an application of Non-linear Model Predictive Control algorithms on energy efficient control of fully electric vehicle cabin temperature and air quality. Since fully electric vehicles can not utilize waste heat from a powertrain (or there is not enough waste heat) as ICE vehicles do, it is necessary to employ advanced control approaches (especially for cabin heating) due to the possible mileage lost by using energy from the batteries for cabin conditioning. The basic idea behind this is to avoid the heat losses caused by excessive air exchange and to ensure a satisfactory air quality in combination with a user defined temperature. The Non-linear Model Predictive control algorithms were successfully implemented into an Infineon AURIX Tricore microcontroller and tested within a Processor in the Loop simulation.

Název v anglickém jazyce

Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles

Popis výsledku anglicky

This article describes an application of Non-linear Model Predictive Control algorithms on energy efficient control of fully electric vehicle cabin temperature and air quality. Since fully electric vehicles can not utilize waste heat from a powertrain (or there is not enough waste heat) as ICE vehicles do, it is necessary to employ advanced control approaches (especially for cabin heating) due to the possible mileage lost by using energy from the batteries for cabin conditioning. The basic idea behind this is to avoid the heat losses caused by excessive air exchange and to ensure a satisfactory air quality in combination with a user defined temperature. The Non-linear Model Predictive control algorithms were successfully implemented into an Infineon AURIX Tricore microcontroller and tested within a Processor in the Loop simulation.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20204 - Robotics and automatic control

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

ISSN

0018-9545

e-ISSN

1939-9359

Svazek periodika

70

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

1216-1229

Kód UT WoS článku

000628913700012

EID výsledku v databázi Scopus

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