Study of Fixed Point Message Scheduling Algorithm for In-Vehicle Ethernet

Jiaoyue Chen, Qihui Zuo, Yihu Xu, Yujing Wu, Wenquan Jin, Yinan Xu
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Abstract

With the rapid development of advanced driver assistance systems (ADASs) and autonomous driving technology, in-vehicle networks are facing huge challenges in real-time operation and data loss. Traditional vehicle bus network systems such as LIN, CAN, and FlexRay are insufficient to meet the real-time requirements of intelligent connected vehicles. In-vehicle Ethernet meets the requirements of high reliability, low electromagnetic radiation, low power consumption, bandwidth allocation, low latency, and real-time synchronization of intelligent connected vehicles. In-vehicle Ethernet has become one of the trends in the next generation of in-vehicle network architecture. This research focuses on the delay problem existing in the real-time data transmission process of in-vehicle Ethernet, and innovatively proposes a fixed point message scheduling algorithm (FPMS) based on time-sensitive network (TSN) technology. By building an experimental platform based on the CANoe simulation tool, the high-efficiency message transmission performance of the fixed point message scheduling algorithm was verified. Experimental results show that the fixed point message scheduling algorithm proposed in this study improves message transmission efficiency by 66%, laying a solid foundation for improving the real-time and reliability performance of in-vehicle Ethernet.
车载以太网的定点信息调度算法研究
随着高级驾驶辅助系统(ADAS)和自动驾驶技术的快速发展,车载网络正面临着实时运行和数据丢失的巨大挑战。传统的车载总线网络系统(如 LIN、CAN 和 FlexRay)无法满足智能互联汽车的实时性要求。车载以太网可满足智能网联汽车的高可靠性、低电磁辐射、低功耗、带宽分配、低延迟和实时同步等要求。车载以太网已成为下一代车载网络架构的发展趋势之一。本研究针对车载以太网实时数据传输过程中存在的延迟问题,创新性地提出了一种基于时敏网络(TSN)技术的定点报文调度算法(FPMS)。通过搭建基于 CANoe 仿真工具的实验平台,验证了定点报文调度算法的高效报文传输性能。实验结果表明,本研究提出的定点报文调度算法提高了 66% 的报文传输效率,为提高车载以太网的实时性和可靠性能奠定了坚实的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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