Result Details

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

GLOS, J.; OTAVA, L.; VÁCLAVEK, P. Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, vol. 70, no. 2, p. 1216-1229. ISSN: 0018-9545.
Type
journal article
Language
English
Authors
Glos Jan, Ing., Ph.D., RG-2-02 (CEITEC)
Otava Lukáš, Ing., Ph.D., RG-2-02 (CEITEC)
Václavek Pavel, prof. Ing., Ph.D., RG-2-02 (CEITEC), UAMT (FEEC)
Abstract

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.

Keywords

Heating systems; Resistance heating; Waste heat; Atmospheric modeling; Air quality; Heat pumps; Temperature control; Air quality control; battery electric vehicle; extended kalman filter; fully electric vehicle; non-linear model predictive control; temperature control; vehicle cabin model

URL
Published
2021
Pages
1216–1229
Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 70, no. 2, ISSN 0018-9545
Publisher
IEEE
Place
PISCATAWAY
DOI
UT WoS
000628913700012
EID Scopus
BibTeX
@article{BUT168057,
  author="Jan {Glos} and Lukáš {Otava} and Pavel {Václavek}",
  title="Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles",
  journal="IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY",
  year="2021",
  volume="70",
  number="2",
  pages="1216--1229",
  doi="10.1109/TVT.2021.3054170",
  issn="0018-9545",
  url="https://ieeexplore.ieee.org/document/9335535"
}
Files
Departments
Cybernetics in Material Science (RG-2-02)
Department of Control and Instrumentation (UAMT)
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