【作者】 王建； 杨殿阁；

【Author】 Wang Jian;Yang Diange;State Key Laboratory of Automotive Safety and Energy Collaborative Innovation Center of Intelligent New Energy Vehicle Department of Automotive Engineering,Tsinghua University;

【机构】 清华大学汽车安全与节能国家重点实验室智能型新能源汽车节能创新中心汽车工程系；

【摘要】 随着无人驾驶及智能网联技术应用需求的爆发式增长,根植于由节点和连接权重定义的具有强烈交互关系的车载网络架构复杂度指标逐步成为影响车辆功能安全、信息安全及开发成本的重要因素。本文用邻接矩阵及相应的依存网络来定义节点间的交互关系模型。通过数字化评估参数实现对车载网络架构复杂度的评估或比较。并通过对比研究,说明中央协调机制在降低车载网络架构复杂度指标方面的贡献。该评估模型将为开放式复杂车载网络架构的开发提供理论基础,并使得快速市场响应及智能化车载网络架构定义成为可能。更多还原

【Abstract】 Along with the explosive growth of the application requirements for the automated driving and intelligent connected vehicles technology,the complexity of In- vehicle network(IVN) gradually become the most important factor that affecting function safety,information security and the cost,which is rooted in the interwoven architecture defined by its components and their interactions.In this paper,the adjacency matrix of the associated dependency network is defined to represented the interaction model between the component.Furthermore,a quantitative measure for structural complexity was developed to evaluate a complex system or make comparison between architectures.At last,a new in-vehicle Electrical/Electronic Architecture was proposed to illustrate its contribution to the complexity of IVN,which was based on the Central coordination mechanism.The evaluation model will provide a theoretical basis for the development of the IVN,which make the rapid market response and intelligent IVN architecture definition be possible.更多还原