从计算的同步数据流模型到汽车部件模型

Mehmet Onur Aybek, Rodolfo Jordão, John Lundbäck, Kurt-Lennart Lundbäck, Matthias Becker
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引用次数: 1

摘要

汽车软件系统的规模和复杂性正在稳步增长。软件功能受制于不同的需求,属于汽车不同的功能域。与此同时,流媒体应用在先进驾驶辅助系统等新兴应用领域也变得越来越重要。在流应用程序的模型中,同步数据流模型以其可分析属性而闻名。这项工作提出了转换规则,允许将同步数据流模型所描述的应用程序转换为汽车组件模型。建议的转换规则以汽车工具套件的软件插件的形式实现,该工具套件允许定时分析、代码合成和部署到实时操作系统。为了证明所提出的方法的适用性,给出了一个卡尔曼滤波器的案例研究,它是一个简化的巡航控制应用的一部分。将滤波器的抽象同步数据流模型转换为部署在具有硬定时保证的电子控制单元上的组件。
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From the Synchronous Data Flow Model of Computation to an Automotive Component Model
The size and complexity of automotive software systems are steadily increasing. Software functions are subject to different requirements and belong to different functional domains of the car. Meanwhile, streaming applications have become increasingly relevant in emerging application areas such as Advanced Driving Assistance Systems. Among models for streaming applications, the Synchronous Data Flow model is well-known for its analysable properties. This work presents transformation rules that allow transforming applications described by the Synchronous Data Flow model to an automotive component model. The proposed transformation rules are implemented in form of a software plugin for an automotive tool suite that allows for timing analysis, code synthesis and deployment to a Real-Time Operating System. To demonstrate the applicability of the proposed approach, a case study of a Kalman filter that is part of a simplified cruise control application is presented. An abstract Synchronous Data Flow model of the filter is transformed into a component that is deployed on an Electronic Control Unit with hard timing guarantees.
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