徐天啸,梁浩,赵静,高小栋,闫涵

• 1:国汽(北京)智能网联汽车研究院有限公司

摘要(Abstract)：

智能车辆信息物理系统（IVCPS）可以基于道路和车辆信息资源实时控制车辆的运行轨迹，在降低车辆能耗方面具有很大潜力。然而，目前对基于云的预测巡航控制（CPCC）体系结构的研究忽略了体系结构实现和应用的可行性，没有对体系结构的合理性进行验证。为建立IVCPS体系结构与应用验证之间的联系，促进IVCPS多领域、多学科协同设计、联合仿真、系统集成，提出了基于模型系统工程（MBSE）的IVCPS建模方法。首先，构建了IVCPS的整体分层体系结构，明确了各层体系结构的构成要素。然后选择系统建模语言（SysML）作为建模工具，构建了需求-功能-逻辑-参数（RFLP）建模框架。最后，以IVCPS云预测巡航控制系统为例，利用RFLP框架对CPCC系统的需求、功能、逻辑和参数进行建模和分析。模拟结果证明MBSE可以实现对CPCC系统的需求分析、功能分解、逻辑架构设计和系统参数标定进行统一建模，促进CPCC系统理论架构的仿真验证，并能够测试、分析CPCC架构对于智能网联汽车的运行轨迹优化和油耗降低效果。本研究旨在为提高IVCPS系统建模的交互性、可重用性和兼容性奠定基础。

关键词(KeyWords)： 基于模型系统工程;智能车辆信息物理系统;系统建模语言;基于云的预测巡航控制

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 徐天啸,梁浩,赵静,高小栋,闫涵

DOI: 10.19822/j.cnki.1671-6329.20230202

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