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基于最优传输可靠度的FlexRay网络参数配置

Parameter configuration for vehicular FlexRay network based on optimal transmission reliability

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【作者】 王跃飞刘红军吴晔黄斌舒成才

【Author】 WANG Yuefei;LIU Hongjun;WU Ye;HUANG Bin;SHU Chengcai;School of Automobile and Traffic Engineering,Hefei University of Technology;Engineering Research Center of Safety Critical Industrial Measurement and Control Technology of Ministry of Education;

【机构】 合肥工业大学汽车与交通工程学院安全关键工业测控技术教育部工程研究中心

【摘要】 汽车控制系统正在由机械传动系统向线控系统转变,线控系统的应用虽然提升了汽车的舒适性和操控性,但是也对车载网络通信的安全性和可靠性提出了更高的要求。文章针对在传输速率和灵活性方面具有较大优势的FlexRay网络的可靠性进行研究,根据静态消息重传、传输可靠度和动态消息实时性的关系分析,提出了传输可靠度和动态消息平均响应时间概念,并推导出定量计算公式;在此基础上,建立了以传输可靠度最优为目标、以预定义传输可靠度和动态消息实时性为约束的FlexRay网络参数设计优化模型,并给出求解该模型的基于可靠度的参数优化算法(reliability aware parameter optimization,RAPO)。在CANoe中的仿真结果表明,该算法不仅可以满足动态消息实时性要求,而且可以有效提高传输可靠度约4.7%。

【Abstract】 The control system of vehicle is converting from the mechanical transmission system into the line control system.Although the line control system promotes the comfort and controllability of vehicle,it has a higher requirement for the safety and reliability of network communication in vehicle.In this paper,the reliability of FlexRay network that has great advantages on the transmission rate and flexibility is studied.According to the relationship analysis of static message re-transmission,transmission reliability and real-time performance of dynamic message,the concepts of transmission reliability and average response time of dynamic message are proposed and its quantitative calculation formula is deduced.Finally,with the target of optimal transmission reliability and the constraint of the predefined transmission reliability and real-time performance of dynamic message,the optimization model of FlexRay network parameter design is established,and the reliability aware parameter optimization(RAPO)of the model is presented.The simulation results in CANoe show that the method can not only meet the requirements of real-time performance of dynamic message,but also effectively increase the transmission reliability by about 4.7%.

【基金】 国家自然科学基金资助项目(61202096);教育部留学回国人员科研启动基金资助项目([2013]693);中央高校基本科研业务费专项资金资助项目(2013HGCH0014);安徽省高等学校自然科学研究资助项目(KJ2012A226);安徽省自然科学基金资助项目(1708085MF157)
  • 【文献出处】 合肥工业大学学报(自然科学版) ,Journal of Hefei University of Technology(Natural Science) , 编辑部邮箱 ,2018年07期
  • 【分类号】TP273;U463.6
  • 【被引频次】9
  • 【下载频次】97
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