Parallel Plug-in HEV Topologies Evaluation Using Dynamic Programming

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F20%3A00343922" target="_blank" >RIV/68407700:21220/20:00343922 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Parallel Plug-in HEV Topologies Evaluation Using Dynamic Programming

Popis výsledku v původním jazyce

Parallel hybrid electric vehicle (HEV) powertrain topologies are among the frequently used layouts, because of their easy applicability on an existing conventional powertrain by the addition of hybrid modules with mild, full, or plug-in capability. This paper investigates three different parallel HEV topologies: P2, P3, and P4, in a plug-in variant. Apart from the topology consideration, one of the other common questions or challenges in HEV development is the ICE concept selection. To address it, the paper combines the three HEV topologies with three technologically different internal combustion engines, all with the same power outputs. Then, to exclude the effect of the energy management control strategy on the CO2 result in a driving cycle, it is suitable to use an optimal control method. For this task, Dynamic Programming optimal control method – based on Bellman’s principle of optimality – is available as a part of GT-Suite 0D/1D/3D multi-physics CAE simulation software.

Název v anglickém jazyce

Parallel Plug-in HEV Topologies Evaluation Using Dynamic Programming

Popis výsledku anglicky

Parallel hybrid electric vehicle (HEV) powertrain topologies are among the frequently used layouts, because of their easy applicability on an existing conventional powertrain by the addition of hybrid modules with mild, full, or plug-in capability. This paper investigates three different parallel HEV topologies: P2, P3, and P4, in a plug-in variant. Apart from the topology consideration, one of the other common questions or challenges in HEV development is the ICE concept selection. To address it, the paper combines the three HEV topologies with three technologically different internal combustion engines, all with the same power outputs. Then, to exclude the effect of the energy management control strategy on the CO2 result in a driving cycle, it is suitable to use an optimal control method. For this task, Dynamic Programming optimal control method – based on Bellman’s principle of optimality – is available as a part of GT-Suite 0D/1D/3D multi-physics CAE simulation software.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

<a href="/cs/project/LO1311" target="_blank" >LO1311: Rozvoj Centra vozidel udržitelné mobility</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

KOKA 2020 Proceedings: 51st International Scientific Conference of the Czech and Slovak Universities and Institutions Dealing with Motor Vehicles and Internal Combustion Engines Research

ISBN

978-80-01-06744-4

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

220-228

Název nakladatele

ústav automobilů, spalovacích motorů a kolejových vozidel

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

9. 9. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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