AI-Based Optimization Framework for System Design and Control Concepts

Current system concept development workflows require many disconnected manual steps across different tools and experts, leading to long development cycles and inconsistent handovers. As a result, only a small fraction of possible architectures, hardware designs, and control strategies are explored, and better solutions often remain undiscovered.

FEV GenAISys is an end-to-end framework that accelerates early-phase system development by combining generative AI with AI-based optimization for system and control concept optimization. The workflow guides the user from use case selection through system parameter definition, generative AI-based architecture generation, parameter selection for hardware and control strategies, measurement-driven digital twin calibration, and fully automated optimization of the complete system configuration.

Learn about the FEV GenAISys methodology and integrated workflow; see how Generative AI-driven architecture generation is connected to simulation-based evaluation and AI-based optimization; and explore efficient co-optimization of hardware and control parameters across multiple objectives and constraints.