automotive CAE Grand Challenge 2021

automotive CAE Grand Challenge 2021

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Background, Concept and Implementation

In the last 30 years computer simulation has become an indispensable tool of automotive development. 

Challenges in virtual vehicle development

Despite of significant progress in simulation technology and impressive results in industrial application there remains a number of challenges.

The Grand Challenge as a platform for dialog

The automotive CAE Grand Challenge stimulates the exchange between users, scientists and software developers in order to solve these challenges.

Presentations

Environment simulation for testing automated driving functions
Dr. Christian Schwarzl - ALP.Lab GmbH
 
Towards homologation of sensors, sensor fusion and automated driving function: the role of high fidelity environment modeling
Prof. Dr. Stefan-Alexander Schneider - Hochschule Kempten
 
Test and validation of highly automated driving using ASAM OpenX standards
Dr. Benjamin Engel - ASAM e.V.
 
Scenario and simulation-based development and validation of connected, cooperative, automated driving functions
Dr. Andreas Kuhn - Andata Entwicklungstechnologie GmbH
 
Cloud-based validation of perceived ADAS/AD safety and comfort
Dr. Philippe Nitsche, Jörg Schlager, Patrick Falk - AVL List GmbH
 
On the road to simulation-based approval of automated driving functions
Martin Herrmann - IPG Automotive GmbH
 
Creating a synthetic environment for simulating autonomy at massive scale
Assaf Sela - Cognata Ltd.
 
Homogenized macro-models of battery packs for crash simulation of electric vehicles
Simon Schwolow - TU Braunschweig and Volkswagen AG
 
Safety-focused characterization of lithium-ion batteries: from micro testing to macro modeling
Dr. Juner Zhu, Prof. Dr. Tomasz Wierzbicki - MIT - Massachusetts Institute of Technology; Dr. Lars Greve - Volkswagen AG; Maximilian Müller - Dr. Ing. h. c. F. Porsche AG
 
Predictive CAE models of lithium batteries to ensure crash safety of electric vehicles
Marco Raffler, Dr.-Ing. Christian Ellersdorfer - Graz University of Technology; Clemens Dünser - Technische Universität Graz
 
Strain-rate dependent plasticity of Li-ion cells: experiments and modelling
Dr. Thomas Tancogne-Dejean, Prof. Dr. Dirk Mohr - ETH Zürich
 
Application in UPSCALE H2020 project of AI enhanced methods for the prediction of battery short circuit in crash scenarios
Alexandre Dumon, Alain Tramecon - ESI Group
 
Battery cell and pack casings in crash and thermal runaway – modelling and characterization
Dr. Martin Schwab, Stefan Riemelmoser, Christoph Schober - 4a engineering GmbH
 
Modelling of Li-Ion separators for nonlinear FE analysis
Marian Bulla - Altair Engineering GmbH; Prof. Dr.-Ing. habil. Stefan Kolling - TH Mittelhessen University of Applied Sciences; Dr. Elham Sahraei Esfahani - Temple University
 
Spot weld connections and plug out separation for full vehicle models
Dr. Niels Pasligh - Ford Forschungszentrum Aachen GmbH
 
Modelling of notch effects due to multi-material joints in car body components made of ultra-high strength steel
Philipp Bähr - Fraunhofer-Institut für Werkstoffmechanik IWM; Dr.-Ing. Silke Sommer - Fraunhofer Institute for Mechanics of Materials IWM; Prof. Dr.-Ing. Gerson Meschut, Eduard Unruh - Universität Paderborn
 
Reduced Order Model for a local-global approach on spotwelds in car crash
Agathe Reille, Dr. Fatima Daim, Prof. Francisco Chinesta - ESI Group
 
A new mapping method considering manufacturing-induced adhesive damage in crash simulations
Erdeniz Ince - GNS Gesellschaft für numerische Simulation mbH
 
Modeling of adhesives in crash simulation under consideration of manufacturing processes
Dr.-Ing. Martin Helbig, Prof. Dr.-Ing. André Haufe - DYNAmore GmbH - Gesellschaft für FEM Ingenieurdienstleistungen; Dr. Kim Kose - INPRO Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbH
 
Contact stresses in body structures: A tailored solution for non-linear dynamics
Markus Breitfuss - Magna Powertrain ECS GmbH & Co. KG; Dr. Oliver Grieshofer - Engineering Center Steyr GmbH & Co KG
 
NVH – variability and robustness, how can we get more than one answer from CAE
Steve Fisher - Jaguar Land Rover Limited
 
Virtual Investigation of Friction Induced Vibrations on a Brake System
Arn Jörger - Karlsruher Institut für Technologie (KIT) / IPEK – Institute of Product Engineering; Ioannis Spiropoulos, Dr. Robert Dannecker - TECOSIM Technische Simulation GmbH; Prof. Dr.-Ing. Albert Albers - Karlsruher Institut für Technologie (KIT) / IPEK – Institute of Product Engineering
 
Understanding NVH variability by simulation
Dr. André Backes - TECOSIM Technische Simulation GmbH
 
Variability Analysis for Multiphysics Submodels in NVH
Dr. Mads J. Herring Jensen - Comsol A/S
 
BEM derived SEA airborne load case
Johannes Seidel - ESI Engineering System International GmbH
 
Optimizing steering nibble performance to tire inputs through Monte-Carlo simulations
Jianmin Guan - Altair Engineering Inc.
 

 

Sensitivity evaluation of occupant kinematics in precrash phase by variation of parameters of a mechatronic belt pre-pretensioner using feedback control loop model coupled with crash simulation
Stefan Schilling - Autoliv B.V. & Co. KG et al.
 
Part 1: How to consider test scatter for model validation in a Virtual Testing procedure
Dr.-Ing. Andre Eggers, Matthias Schießler - German Federal Highway Research Institute (BASt); Prof. Dr. Steffen Peldschus - LMU University of Munich
 
Part 2: How to consider test scatter for model validation in a Virtual Testing procedure
Matthias Schießler, Dr.-Ing. Andre Eggers - German Federal Highway Research Institute (BASt); Prof. Dr. Steffen Peldschus - LMU University of Munich
 
Studies of the variability of occupant injury prediction due to slight differences in fold pattern of passenger airbags using JFOLD and LS-DYNA
Richard Taylor - ARUP; Shinya Hayashi - JSOL Corporation; Mayumi Murase - JSOL Corporation
 
Experience a complete virtual crash and safety laboratory with the aid of the ANSA pre-processor
Emmanouil Dagdilelis - BETA CAE Systems S.A.
 
AI/ML/ROM Applications in Crash/Safety parametric analysis, optimization and robustness analysis
Dr. Kambiz Kayvantash - Hexagon
 
Interactive exploration of robustness studies based on self-supervised deep learning
Dr. Stefan Suwelack - Renumics GmbH
 
Analysing scatter of curves together with geometrical crash behaviour
Dominik Borsotto, Stefan Mertler - SIDACT GmbH
 
Strength and fatigue requirements for HV battery packs
Dr.-Ing. Boris Künkler, Sonny Koo - Opel Automobile GmbH
 
Modern methods for representative vibration durability test for electric vehicles
Dr. Paresh Murthy, Dr. Neil Bishop - MSC Software
 
Vibrational fatigue assessment for E-mobility application
Axel Werkhausen - Engineering Center Steyr GmbH & Co KG
 
Strength and fatigue of batteries - a multi-discipline approach
Dr. rer. nat. Michael Hack - Siemens Industry Software GmbH
 
Virtual vibration fatigue testing of an automotive EV battery pack
Dr. Marco Veltri - MSC Software
 
Comparing test and simulation: Industry requirements
Dr.-Ing. Dirk Rensink - SEGULA Technologies Germany
 
The use of MADM in the validation of an airbag model
Dr. Christophe Bastien, Alexander Diederich, Dr. Jesper Christensen, Shahab Ghaleb - Coventry University
 
Filling the gap between experiment and simulation thanks to x-ray car crash, example of a MPDB based scenario
Yann Léost, Philipp Bösl, Ines Butz - Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut, EMI; Johannes Heilmaier - ADAC Technik Zentrum Landsberg
 
Validation of an electro - thermomechanical coupled Li-ion cell
Fabian Möller - EDAG Engineering GmbH
 
Data Management and Analysis for Testing and Simulation Results
Dr. Gordon Geißler, Dr. Martin Liebscher - SCALE GmbH
 
Combined analysis of crash-simulations and crash-test scans
Clemens-August Thole, Dominik Borsotto, Dr. Lennart Jansen - SIDACT GmbH
 
The new full field calibration approach for solid elements to model constitutive behaviour in crashworthiness
Prof. Dr.-Ing. André Haufe, Christian Ilg - DYNAmore GmbH - Gesellschaft für FEM Ingenieurdienstleistungen; Prof. Dr.-Ing. Mathias Liewald - Universität Stuttgart
 

 

 

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