Evaluation of Plug-in Parallel HEV Topologies using Optimal Control Methods and Vehicle Dynamics Simulation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F20%3A00353337" target="_blank" >RIV/68407700:21220/20:00353337 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.14311/mecdc.2020.02.03" target="_blank" >https://doi.org/10.14311/mecdc.2020.02.03</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/mecdc.2020.02.03" target="_blank" >10.14311/mecdc.2020.02.03</a>

Result language

angličtina

Original language name

Evaluation of Plug-in Parallel HEV Topologies using Optimal Control Methods and Vehicle Dynamics Simulation

Original language description

Hybrid electric vehicle (HEV) powertrains with parallel 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 a plug-in capability. This paper investigates three of such parallel HEV topologies: P2, P3, and P4; all in a plug-in variant, to find-out which one performs best. 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, all the powertrain and ICE combinations are tested in homologation driving cycles and vehicle dynamics simulation test – different acceleration tests – giving a holistic methodology suitable for thorough HEV topology evaluation, identifying all possible hybridization benefits. To find the maximum CO2 potential, it is convenient to exclude the effect of the energy management control strategy on the CO2 result in a charge sustaining driving cycle; therefore, to use some optimal control method. For this task, the paper compares the Equivalent Consumption Minimization Strategy, that realizes a Pontryagin’s minimum principle against the Dynamic Programming optimal control method, which is based on Bellman’s principle of optimality. Both control methods are available as a part of GT-Suite 0D/1D/3D multi-physics CAE simulation software, that is used in our whole study.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

20301 - Mechanical engineering

Project

<a href="/en/project/TN01000026" target="_blank" >TN01000026: Josef Bozek National Center of Competence for Surface Vehicles</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

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

Name of the periodical

MECCA Journal of Middle European Construction and Design of Cars

ISSN

1214-0821

e-ISSN

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Volume of the periodical

17

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

15

Pages from-to

21-35

UT code for WoS article

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EID of the result in the Scopus database

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