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UPSCALE: AI-Driven Simulation for Electric Vehicles Development

UPSCALE integrates AI methods into CAE software for efficient electric vehicle development. Reduce simulation times while improving accuracy. Enhances aero/thermal modeling and crash simulations. Project funded with a total budget of 4M €.

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UPSCALE: AI-Driven Simulation for Electric Vehicles Development

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  1. Project Overview

  2. UPSCALE Upscaling Product development Simulation Capabilities exploiting Artificial intelligence for Electrified vehicles 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. The objective of the project is to apply AI-methods to reduce the development time (20%) and increase the performance of electric vehicles (EVs). Focused on vehicle aero/thermal- and crash modelling. UPSCALE aims to reduce simulation times by orders of magnitude while maintaining or improving accuracy significantly Introduction

  3. CFD: • Aerodynamics: forces and flow field prediction by means of segregated models (geometry parametrization) • Machine learning CFD enhanced solvers • pressure corrector solver • Physics informed turbulence modelling Thermal battery modelling: Reduced Order Models Crash: • Contact algorithm acceleration • Battery Reduced Order Models Other complementary tools: Optimization algorithms, data management, partitioning Project Scope

  4. Project Structure

  5. Project coordinator EnricAramburu, Applus+ IDIADA 11 partners from 8 European countries General timing November2018 – April 2022 Allocated total budget (100% funded) 4M € Facts www.upscaleproject.eu

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