The increasing connectivity and autonomy of vehicles has led to a growing need for dynamic and real-time adjustments to software and network configurations. Software Defined Vehicles (SDV) have emerged as a potential solution to adapt to changing user needs with continuous updates and onboard reconfigurations to offer infotainment, connected, and background services such as cooperative driving. However, network configuration management in SDVs remains a significant challenge, particularly in the context of shared Ethernet-based in-vehicle networks. Traditional worst-case static configuration methods cannot efficiently allocate network resources while ensuring Quality of Service (QoS) guarantees for each network flow within the physical topology capabilities. In this work, we propose a configuration generation methodology that addresses these limitations by dynamically switching between pre-computed offboard configurations downloaded to the vehicle. Simulation results are presented and future work is discussed.

翻译：车辆互联性与自主性的日益增强，催生了对软件及网络配置进行动态实时调整的迫切需求。软件定义车辆（SDV）作为一种能够通过持续更新与车载重配置适应不断变化的用户需求的潜在解决方案应运而生，可提供信息娱乐、互联及协同驾驶等背景服务。然而，在基于共享以太网的车载网络背景下，SDV的网络配置管理仍是一项重大挑战。传统的静态最坏情况配置方法无法在确保物理拓扑能力范围内为每条网络流提供服务质量（QoS）保障的同时高效分配网络资源。本研究提出了一种配置生成方法论，通过动态切换车辆已下载的预计算离线配置来克服上述局限性。文中给出了仿真结果，并对未来工作进行了探讨。