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About the project

UPSCALE is the first EU project with the specific goal of integrating AI (artificial intelligence) with traditional physics-based Computer Aided Engineering to reduce the development time and increase the performance of electric vehicles (EVs).

Nowadays High-Performance Computing (HPC) and Computer Aided Engineering (CAE) play a decisive role in vehicle development processes, thus the two most HPC and CAE intensive parts of the development, which are vehicle aero-thermal and vehicle crash performance, have been chosen as use cases for the endeavour.

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 the competitiveness of the automotive industry.

Discover with this PPT the key aspects of the UPSCALE project! 

UPSCALE General Overview

Objectives

When considering HPC usage, approximately 20% is being used in aero-thermal simulations and up to 50% is used in crash simulations.

By improving these two areas there will be a 20% reduction of the vehicle development time.

Enhance the performance of existing CFD and FEM crash test tools and processes using machine learning, thus leveraging the potential of ML/MOR to make primary CAE systems faster and more flexible directly impacting the costs and performance of electric vehicles as they heavily rely on simulation for design.

Implement AI for aerodynamic design, first the consortium will work on body parametrization and then will create and train an aerodynamics Reduced Order Models capable of computing aerodynamic values.

Implement AI for design of crash, which will reduce the simulation run time for a full electric vehicle crash by 30%, including battery packs. The consortium will focus on crash battery modelling by means of ROM.

CAE process acceleration by means of subrogation of time-consuming solver functions by AI trained algorithms.

Assessment of a new crash and aerothermal frameworks for full-scale BEV design.

News All news about the project

UPSCALE, AI to speed up the electric car production

The artificial intelligence (AI) is changing the functioning of the automotive industry.

UPSCALE project is going ahead!

Second consortium meeting of the H2020 UPSCALE project

First press release UPSCALE

Project ‘UPSCALE’ receives funding from the European Commission for the implementation and integration of artificial intelligence in the development process of electric vehicles

First project meeting

Kick off meeting of UPSCALE project in Barcelona

Events Keep updated about our events

UPSCALE presented at the ENGYS UGM 2019

Participants to the ENGYS User Group Meeting 2019, hosted in London, UK, from 16 to 18 September, had the opportunity to learn about the UPSCALE project and its objectives.

UPSCALE will give two presentations at the VDI conference “AI and ROM in Crash, Aero and Thermal Modeling”

The event is taking place in Baden-Baden (Germany) the 19 and 20 November 2019. 

The UPSCALE project will attend the “automotive CAE Grand Challenge” event

On 16 and 17 April the UPSCALE project will be attending the “automotive CAE Grand Challenge”, one of the most important events in the automotive Computer Aided Engineering (CAE) sector.

Deliverables We share all content about our researchs

UPSCALE DELIVERABLES

Here you can find all  the deliverables of the UPSCALE project and download the public documents.

Consortium

The consortium is made up of 11 partners with wide experience and expertise in their fields.

SPAIN

BELGIUM

SPAIN

UNITED KINGDOM

SWEDEN

GERMANY

ITALY

FRANCE

FRANCE

GERMANY

AUSTRIA

Partner's map

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