Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F20%3APU137292" target="_blank" >RIV/00216305:26620/20:PU137292 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9254286" target="_blank" >https://ieeexplore.ieee.org/document/9254286</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IECON43393.2020.9254286" target="_blank" >10.1109/IECON43393.2020.9254286</a>
Alternative languages
Result language
angličtina
Original language name
Hybrid Model Predictive Control for Fully Electric Vehicle Thermal Management System Optimal Mode Selection
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/LQ1601" target="_blank" >LQ1601: CEITEC 2020</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the IECON 2020 - The 46th Annual Conference of the IEEE Industrial Electronics Society
ISBN
978-1-7281-5414-5
ISSN
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e-ISSN
—
Number of pages
8
Pages from-to
2036-2043
Publisher name
IEEE
Place of publication
New York
Event location
Singapore
Event date
Oct 18, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000637323702008