PRE-WORKSHOP
PRE-WORKSHOP | 1 DECEMBER 2025
AI FUNDAMENTALS & BEST PRACTICES IN POWERTRAIN AND DEVELOPMENT
The automotive industry is under increasing pressure to deliver innovative, efficient, and sustainable drive systems in a shorter amount of time. AI can support engineering processes by improving simulation, testing, optimization, and maintenance. In this workshop, we will explore how AI can be applied to powertrain development to reduce time to market and lower engineering costs. We will provide an overview supported by examples of how AI contributes to faster decision-making, fewer physical tests, and more efficient use of resources while maintaining high product quality.
Engineers and managers will get an overview of the basics of AI including concrete application examples during this AI-Workshop. The first segment lays out the fundamentals of AI, the different models and accompanying methods especially in machine learning. Different AI methods and their applications within drive systems and the drive system development process will be illustrated in the second segment. The topic of AI integration within an automotive company processes including the challenges and how to overcome them, will be addressed in the last segment.
Foundations of Artificial Intelligence: Concepts, Models & Methods
- Core principles of AI, Machine Learning, and Generative AI
- Introduction to Foundation Models, LLMs, and Agentic AI
- Insights into hybrid, explainable, and trustworthy AI systems
Prof. Dr.-Ing. Philipp Slusallek, Member of the Executive Board, Head of the Department Agents and Simulated Reality (ASR), German Research Center for Artificial Intelligence (DFKI)
Dr. Christian Mueller, Deputy Head of the Department Agents and Simulated Reality (ASR), German Research Center for Artificial Intelligence (DFKI)
Lunch Break
Applications of AI in Drive Systems and Drive Development
- AI’s role in modern powertrain and R&D
- Application of AI for modeling and simulation acceleration
- AI methods for design optimization and calibration
- AI in testing, validation, and predictive maintenance
Dr Axel Sturm, Head of Innovative Vehicle Technologies, Institute for Automotive Engineering, TU Braunschweig
Fabian Notz, Scientific Assistant, Institute for Automotive Engineering, TU Braunschweig
Coffee Break
Application of AI in Automotive Company Processes
- Importance of GenAI in the development process
- What to consider as a company for the introduction of AI in the development process
- Lessons learned, typical pain points and key success factors of AI in development processes
- Identification and demonstration of AI use cases (e.g. FEV GenAIHub)
Dr Dominik Lückmann, Director, Motor, Hybrid & Fuel Cell Powertrains, FEV