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UPSCALE SIGNED

Upscaling Product development Simulation Capabilities exploiting Artificial inteLligence for Electrified vehicles

Total Cost €

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EC-Contrib. €

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Partnership

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Project "UPSCALE" data sheet

The following table provides information about the project.

Coordinator
IDIADA AUTOMOTIVE TECHNOLOGY SA 

Organization address
address: L ALBORNAR
city: SANTA OLIVA
postcode: 43710
website: www.idiada.com

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 3˙994˙802 €
 EC max contribution 3˙994˙802 € (100%)
 Programme 1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
 Code Call H2020-LC-GV-2018
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-11-01   to  2022-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IDIADA AUTOMOTIVE TECHNOLOGY SA ES (SANTA OLIVA) coordinator 474˙700.00
2    ENGYS LTD UK (RICHMOND SURREY) participant 558˙375.00
3    ESI GROUP FR (PARIS) participant 530˙855.00
4    CENTRO RICERCHE FIAT SCPA IT (ORBASSANO) participant 503˙250.00
5    VOLKSWAGEN AG DE (WOLFSBURG) participant 390˙172.00
6    VOLVO PERSONVAGNAR AB SE (GOTEBORG) participant 389˙725.00
7    VIRTUAL VEHICLE RESEARCH GMBH AT (GRAZ) participant 372˙250.00
8    VRIJE UNIVERSITEIT BRUSSEL BE (BRUSSEL) participant 292˙500.00
9    ECOLE NATIONALE SUPERIEURE D'ARTS ET METIERS FR (PARIS) participant 234˙850.00
10    ALGORITHMICA TECHNOLOGIES GMBH DE (BAD NAUHEIM) participant 168˙000.00
11    F INICIATIVAS I MAS D MAS I SL ES (MADRID) participant 80˙125.00

Map

 Project objective

UPSCALE is the first EU-project that has the specific goal to integrate artificial intelligence (AI) methods directly into traditional physics-based Computer Aided Engineering (CAE)-software and –methods. These CAE-tools are currently being used to develop road transportation not only in Europe but worldwide. The current focus of the project is to apply AI-methods to reduce the development time and increase the performance of electric vehicles (EVs) which are required by the automotive industry to reduce global emission levels. High performance computing (HPC) and CAE-software and –methods play a decisive role in vehicle development process. In order to make a significant impact on the development process, the two most HPC intensive CAE-applications have been chosen as use cases for the project: vehicle aero/thermal- and crash-modelling. When considering total automotive HPC usage, approximately 20% is used for aero/thermal simulations and up to 50% of HPC resources are utilized for crash simulations. By improving the effectiveness of these two areas, great increases in efficiency will lead to a 20% of reduction of product time to market. Other novel modelling approaches such as reduced order modelling will be coupled to the AI improved CAE-software and -methods to further reduce simulation time and ease the application of optimization tools needed to improve product quality. Through the combined effort of universities, research laboratories, European automotive OEMs, software companies and an AI-SME specialized in machine learning (ML), the UPSCALE project will provide a unique and effective environment to produce novel AI-based CAE-software solutions to improve European automotive competiveness.

 Deliverables

List of deliverables.
Potential for ML-based acceleration in finite volume Documents, reports 2020-04-09 20:16:31
Corresponding load cases for the full vehicle models to be used within the project Other 2020-04-09 20:16:41
Requirements for aerothermal simulations reduced order model Documents, reports 2020-04-09 20:16:24
Website Other 2020-01-29 11:03:34

Take a look to the deliverables list in detail:  detailed list of UPSCALE deliverables.

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The information about "UPSCALE" are provided by the European Opendata Portal: CORDIS opendata.

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