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Optimization of scalaBle rEaltime modeLs and functIonal testing for e-drive ConceptS

Optimization of scalaBle rEaltime modeLs and functIonal testing for e-drive ConceptS

Objective

As the impact of global warming becomes increasingly clear, the environmental impact of conventional fossil-fueled vehicles is undergoing close scrutiny by authorities and the public; correspondingly electric vehicles and electrified transportation are emerging as the only sustainable alternative to preserving the environment and guaranteeing the mobility needs of the future. Although the switch from conventional to EV represents a major challenge for the automotive industry, with significant obstacles still to be overcome, it also represents a major market and employment opportunity for all the supply chain. Specifically, before their mass deployment can become a reality, it is crucial to guarantee that the real operational performance, safety, reliability, durability and affordability of EVs attain at least the same level as conventional vehicles. Current, state-of-the-art EVs do not reach these targets due to limited technical maturity of key components (eg batteries) and limited available know-how and tools, also in the area of testing and simulation. Today industrial R&D must focus on bringing new, improved mass-production compliant vehicles to the market rapidly, implementing advanced components and architectures for higher operational efficiency: In this context, the OBELICS project address the urgent need for new tools to enable the multi-level modelling and testing of EV and their components in order to deliver more efficient vehicle designs faster while supporting modularity to enable mass production and hence improved affordability. OBELICS aims for a step change in the performance (target: + 20%, i.e. from 100 Wh/kg to 120 Wh/kg), efficiency (target: + 20%), safety (target: + factor 10) and lifetime (target: + 30%, i.e. from 100,000 km/8 years to 130,000 km years/11 years) of e-drivetrains and the development time (target: - 40%, i.e. from 5 years to 3 years) and efforts (target: -50%, i.e. from 100 fte and 30 million euro to 50 fte and 15 million euro).
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Coordinator

AVL LIST GMBH

Address

Hans-List-Platz 1
8020 Graz

Austria

Activity type

Other

EU Contribution

€ 870 562,50

Participants (18)

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CENTRO RICERCHE FIAT SCPA

Italy

EU Contribution

€ 480 750

FORD OTOMOTIV SANAYI ANONIM SIRKETI

Turkey

EU Contribution

€ 417 625

RENAULT TRUCKS SAS

France

EU Contribution

€ 575 781,25

AVL SOFTWARE AND FUNCTIONS GMBH

Germany

EU Contribution

€ 534 515

ROBERT BOSCH GMBH

Germany

EU Contribution

€ 378 968,75

SIEMENS INDUSTRY SOFTWARE NV

Belgium

EU Contribution

€ 770 437,50

SIEMENS INDUSTRY SOFTWARE SAS

France

EU Contribution

€ 720 375

UNIRESEARCH BV

Netherlands

EU Contribution

€ 176 562,50

VALEO EQUIPEMENTS ELECTRIQUES MOTEUR SAS

France

EU Contribution

€ 661 625

COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES

France

EU Contribution

€ 369 518,75

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 462 675

FH JOANNEUM GESELLSCHAFT MBH

Austria

EU Contribution

€ 392 545

KEMIJSKI INSTITUT

Slovenia

EU Contribution

€ 218 360

UNIVERZA V LJUBLJANI

Slovenia

EU Contribution

€ 418 187,50

UNIVERSITA DEGLI STUDI DI FIRENZE

Italy

EU Contribution

€ 355 125

UNIVERSITY OF SURREY

United Kingdom

EU Contribution

€ 378 008,75

Kompetenzzentrum - Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH

Austria

EU Contribution

€ 338 800

VRIJE UNIVERSITEIT BRUSSEL

Belgium

EU Contribution

€ 557 075

Project information

Grant agreement ID: 769506

Status

Ongoing project

  • Start date

    1 October 2017

  • End date

    30 September 2020

Funded under:

H2020-EU.3.4.

  • Overall budget:

    € 9 077 497,50

  • EU contribution

    € 9 077 497,50

Coordinated by:

AVL LIST GMBH

Austria