Project description
ML predictive models for crash and aerodynamics assessment
High-performance computing (HPC) and computer-aided engineering (CAE) play an instrumental role in the vehicle development process. Of the total automotive HPC usage, approximately 20 % goes to aero/thermal simulations, and up to 50 % of HPC resources to crash simulations. The EU-funded UPSCALE project integrates AI methods directly into traditional physics-based CAE software and methods used in developing road transportation worldwide. The project focuses on AI-methods application to reduce the development time and increase the performance of electrified vehicles, thus reducing global emission levels. UPSCALE has chosen as use cases for the project the two most HPC intensive CAE applications: vehicle aero/thermal modelling and crash modelling.
Fields of science
- natural sciencescomputer and information sciencessoftware
- social sciencessocial geographytransportelectric vehicles
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineering
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
43710 Santa Oliva
Spain
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Participants (14)
405 31 Goteborg
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38440 Wolfsburg
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10043 Orbassano
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
10135 Torino
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94528 Rungis
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
70565 Stuttgart
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
32600 Plzen
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TW9 1PL Richmond Surrey
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
8010 Graz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1050 Brussel
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75013 Paris
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61231 Bad Nauheim
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Participation ended
28045 Madrid
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28045 Madrid
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