automotive CAE Grand Challenge

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. 

Grand Challenges 2025

The Grand Challenges 2025 have been identified through a survey among the simulation experts of the international automotive industry:

• Artificial Intelligence, Machine Learning, Big Data:
  Physics Informed Neural Networks
• CAE Process & Quality Assurance:
  Management of CAE Model Evolution During a Development Program
• Full Vehicle Simulation:
  Road Load Determination with Advanced Wheel and Tire Models
• Noise, Vibration, Harshness:
  Prediction Accuracy of Acoustic Analysis
• Occupant Safety:
  Behavior of Restraint Systems for Diverse Human Proportions
• Optimization & Robustness:
  Sensitivity Analysis for Crash Simulations with Explicit Codes
• Virtual Manufacturing:
  Simplified Casting Simulation, Especially for Giga Castings

In the conference one session is dedicated to each of the most critical challenges, the "Grand Challenges".

In every session of the conference experts from industry, research and software development will explain how critical the individual challenge is for the virtual car development process and report about their efforts to overcome the challenge.