基于MBSE的智能汽车信息物理系统建模方法

Modeling Method for Intelligent Vehicle Cyber-Physical System Based on MBSE

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。

The Intelligent Vehicle Cyber-Physical System(IVCPS)can control the operation trajectory of vehicles based on road and vehicle information resources in real time,which has great potential in reducing vehicle energy consumption.However,the current studies on Cloud-Based Predictive Cruise Control(CPCC)architecture ignore the feasibility of architecture implementation and application,without verifing the rationality of the architecture.To establish the links among architecture,application and verification,promote multi-domain and multi-disciplinary collaborative design,joint simulation as well as system integration in IVCPS,this paper proposes the modeling method of IVCPS based on Model-Based Systems Engineering(MBSE).Firstly,the overall layered architecture of IVCPS is constructed and the elements of each layer of the architecture are clarified.Then Systems Modeling Language(SysML)is utilized as the modeling tool and the Requirement analysis-Functional analysis-Logical analysis-Parametric calibration(RFLP)modeling framework is constructed.Finally,a typical scenario of CPCC system within IVCPS is taken as an example.The RFLP framework is utilized to model and analyze the requirements,functions,logics and parametric calibration of the CPCC system.The modeling results prove that MBSE can realize the unified modeling of the requirement analysis,function decomposition,logical architecture design and system parameter calibration of the CPCC system,promote simulation verification of the theoretical architecture of the CPCC system and be able to test and analyze the effectiveness of the CPCC architecture in optimizing the running trajectory and reducing fuel consumption of intelligent connected vehicles.This study lays a foundation for improving the interactivity,reusability and compatibility of IVCPS system modeling.