Detail publikace

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

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

Plný text v Digitální knihovně

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"
}