Automatic Platform Configuration and Software Integration for Software-Defined Vehicles

TL;DR

This paper presents an automated approach for platform configuration and software integration in software-defined vehicles, shifting tasks from development to runtime to reduce development time and increase flexibility.

Contribution

It introduces an integration manager combining model-based methods and virtualization to automate deployment planning and enable dynamic resource management in SDVs.

Findings

Automated deployment plans generated using MBSE and code synthesis.

Dynamic resource allocation achieved through virtualization technologies.

Proof of concept demonstrated on a simulated SDV platform.

Abstract

In the automotive industry, platform configuration and software integration are mostly manual tasks performed during the development phase, requiring consideration of various safety and non-safety requirements. This manual process often leads to prolonged development cycles and provides limited flexibility. This paper introduces a novel approach to automate platform configuration and software integration for software-defined vehicles (SDVs), shifting these activities from the development phase to runtime. Our approach features an integration manager that combines model-based methods and virtualization technologies to generate and execute deployment plans. By leveraging model-based systems engineering (MBSE), our method automatically generates platform configuration and software integration plans, which are then converted into deployment-ready formats using code generation techniques. Utilizing virtualization and container orchestration technologies, the proposed system enables dynamic and flexible resource allocation while ensuring compliance with safety requirements. Communication between the development and runtime platforms is facilitated via a REST API. A proof of concept was implemented on a simulated SDV platform with the Intel Whiskey Lake Board. This demonstration showcases the integration manager on an SDV with a central computer, highlighting the potential to shorten development cycles and adapt to diverse vehicle configurations.