Evaluation Study of a Multi-Mode HEV with a Dedicated Hybrid Transmission

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F21%3A00357103" target="_blank" >RIV/68407700:21220/21:00357103 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.46720/F2020-ADM-108" target="_blank" >https://doi.org/10.46720/F2020-ADM-108</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.46720/F2020-ADM-108" target="_blank" >10.46720/F2020-ADM-108</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation Study of a Multi-Mode HEV with a Dedicated Hybrid Transmission

Popis výsledku v původním jazyce

The current legislation requires the increasing levels of vehicle powertrain electrification or hybridization to fulfill the limits of green-house gas emissions. 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. A more “HEV-tailored” approach merges a dedicated hybrid transmission (DHT), an ICE, a gearbox, and one or more electric motors more closely together, reducing HEV powertrain’s mechanical complexity and costs. This paper investigates a multi-mode HEV with a DHT and two electric machines with optional electric serial or parallel operating modes. Great challenge in the development of the multi-mode HEV topology with DHT is the component sizing: ICE, electric machines, and battery with optimized capacity, and yet fulfilling several roles. On one hand, satisfactory responsiveness on a dynamic driving demands (vehicle acceleration capabilities, top speed etc.). On the other hand, energy consumption achieving better levels than standard parallel HEV topologies. Added challenge is the interaction of a powertrain supervisory energy management strategy with overall DHT layout and its components, with effects on vehicle energy consumption. Our paper addresses these challenges using multi-parametric optimization workflow, that combines parametric HEV models, with optimal energy management strategy, and optimization software. The main parametric HEV model of the chosen multi-mode DHT powertrain is programmed in Python, with an optimal energy management strategy based on Pontryagin’s Minimum Principle, the second model is a 1D longitudinal vehicle dynamics model in GT-Suite multi-physics CAE system simulation software. The workflow is then used to evaluate the optimal component sizing for two different vehicle segments and fuel economy in a homologation driving cycle WLTC.

Název v anglickém jazyce

Evaluation Study of a Multi-Mode HEV with a Dedicated Hybrid Transmission

Popis výsledku anglicky

The current legislation requires the increasing levels of vehicle powertrain electrification or hybridization to fulfill the limits of green-house gas emissions. 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. A more “HEV-tailored” approach merges a dedicated hybrid transmission (DHT), an ICE, a gearbox, and one or more electric motors more closely together, reducing HEV powertrain’s mechanical complexity and costs. This paper investigates a multi-mode HEV with a DHT and two electric machines with optional electric serial or parallel operating modes. Great challenge in the development of the multi-mode HEV topology with DHT is the component sizing: ICE, electric machines, and battery with optimized capacity, and yet fulfilling several roles. On one hand, satisfactory responsiveness on a dynamic driving demands (vehicle acceleration capabilities, top speed etc.). On the other hand, energy consumption achieving better levels than standard parallel HEV topologies. Added challenge is the interaction of a powertrain supervisory energy management strategy with overall DHT layout and its components, with effects on vehicle energy consumption. Our paper addresses these challenges using multi-parametric optimization workflow, that combines parametric HEV models, with optimal energy management strategy, and optimization software. The main parametric HEV model of the chosen multi-mode DHT powertrain is programmed in Python, with an optimal energy management strategy based on Pontryagin’s Minimum Principle, the second model is a 1D longitudinal vehicle dynamics model in GT-Suite multi-physics CAE system simulation software. The workflow is then used to evaluate the optimal component sizing for two different vehicle segments and fuel economy in a homologation driving cycle WLTC.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

<a href="/cs/project/TN01000026" target="_blank" >TN01000026: Národní centrum kompetence Josefa Božka pro pozemní dopravní prostředky</a><br>

Návaznosti

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

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the FISITA 2021 World Congress

ISBN

978-1-9160259-2-9

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

FISITA - International Federation of Automotive Engineering Societies

Místo vydání

London

Místo konání akce

Praha

Datum konání akce

14. 9. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—