MBSE for SDV: A Framework for Efficient Resource Allocation and System Behavior in Software-Defined Vehicles.

The emergence of Software Defined Vehicles (SDVs) presents a paradigm shift in the automotive domain. In this paper, we explore the application of Model-Based Systems Engineering (MBSE) for comprehensive system simulation within the SDV architecture. This MBSE approach can help to reduce the complexity involved in Software-Defined Vehicle Architecture making it more flexible, consistent and scalable. The proposed approach facilitates the definition and analysis of functional, logical, and physical architectures, enabling efficient resource allocation and verification of system behavior. Our framework addresses key aspects of SDV development: • Functional Decomposition: We establish high-level system functions at the root level, and decompose each function to make them abstract for defining the overall functionality of the SDV. • Logical Architecture: This layer focuses on component logic and data communication between Electronic Control Units (ECUs), High-Performance Compute Devices (HPCs), and software components. It facilitates performance parameter estimation for resource allocation. • Physical Architecture: This level identifies the hardware components required for the SDV system and the network communication interfaces between Central Computers, Zonal Gateways, and Node ECUs. • Feature Allocations and Resource Management: The framework manages the allocation of features across the architecture, with the corresponding allocation of resources like memory and CPU utilization. This will enable simulation and verification of the features with respect to different vehicle platforms and variants. • Iterative Component Analysis: Performance parameters are analyzed iteratively for each component within the SDV system based on their stereotypes and characteristic data. • Analyse Component Interaction: Leveraging Sequence Diagrams to simplify complex systems by visualizing interactions between the various components of the architecture, such as vehicle start-up and shutdown procedures.