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Detail publikace
GLOS, J. OTAVA, L. VÁCLAVEK, P.
Originální název
Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
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
Autoři
GLOS, J.; OTAVA, L.; VÁCLAVEK, P.
Vydáno
25. 1. 2021
Nakladatel
IEEE
Místo
PISCATAWAY
ISSN
0018-9545
Periodikum
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Ročník
70
Číslo
2
Stát
Spojené státy americké
Strany od
1216
Strany do
1229
Strany počet
14
URL
https://ieeexplore.ieee.org/document/9335535
Plný text v Digitální knihovně
http://hdl.handle.net/11012/196512
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" }