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GLOS, J. ŠOLC, F. OTAVA, L. VÁCLAVEK, P.
Originální název
Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Vehicle thermal management systems of Fully Electric Vehicles bring increased demands on control algorithms to operate the vehicle efficiently. Especially, if there are multiple heat sources and sinks (cabin, batteries, electric drive, thermal energy storage, etc.), it is necessary to select the system operating mode (configuration of actuators), under which the system will operate efficiently with respecting defined constraints and references tracking. This paper brings a novel approach to the decision-making algorithm, which is based on the Hybrid Model Predictive Control and optimally solves the problem with regards to the defined objective function.
Klíčová slova
vehicle thermal management system; VTMS; model predictive control; MPC; hybrid model predictive control; HMPC; piecewise-affine; PWA; thermal energy storage; TES; heat pump; fully electric vehicle; FEV; vapor compression refrigeration system; VCRS; waste heat recovery; decision-making algorithm
Autoři
GLOS, J.; ŠOLC, F.; OTAVA, L.; VÁCLAVEK, P.
Vydáno
18. 10. 2020
Nakladatel
IEEE
Místo
New York
ISBN
978-1-7281-5414-5
Kniha
Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society
Strany od
2036
Strany do
2043
Strany počet
8
URL
https://ieeexplore.ieee.org/document/9254286
Plný text v Digitální knihovně
http://hdl.handle.net/11012/195674
BibTex
@inproceedings{BUT165335, author="Jan {Glos} and František {Šolc} and Lukáš {Otava} and Pavel {Václavek}", title="Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection", booktitle="Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society", year="2020", pages="2036--2043", publisher="IEEE", address="New York", doi="10.1109/IECON43393.2020.9254286", isbn="978-1-7281-5414-5", url="https://ieeexplore.ieee.org/document/9254286" }