π€ AI Summary
The automotive industry suffers from a lack of standardized interfaces and heavy reliance on proprietary simulation platforms, leading to poor hardware-software co-design capability, limited scalability, and weak intellectual property (IP) protection.
Method: This paper proposes an automated methodology for integrating SystemC models into the Functional Mock-up Interface (FMI) standard, specifically targeting software-defined vehicles. It achieves, for the first time, end-to-end automated FMI encapsulation of SystemC models, synergizing SystemCβs high-fidelity modeling with FMIβs cross-platform interoperability and secure model packaging.
Contribution/Results: The approach enables plug-and-play co-simulation of embedded components, significantly improving early-stage verification efficiency and IP portability. Evaluated on a real automotive electronic system, the method effectively supports complex system design and rapid iteration, establishing a reusable technical pathway for ASIL-compliant heterogeneous model integration.
π Abstract
The recent advancements of the automotive sector demand robust co-simulation methodologies that enable early validation and seamless integration across hardware and software domains. However, the lack of standardized interfaces and the dominance of proprietary simulation platforms pose significant challenges to collaboration, scalability, and IP protection. To address these limitations, this paper presents an approach for automatically wrapping SystemC models by using the Functional Mock-up Interface (FMI) standard. This method combines the modeling accuracy and fast time-to-market of SystemC with the interoperability and encapsulation benefits of FMI, enabling secure and portable integration of embedded components into co-simulation workflows. We validate the proposed methodology on real-world case studies, demonstrating its effectiveness with complex designs.