Minimizing frame bus utilization is a difficult issue for a controller area network with flexible data rate (CAN-FD) in automotive cyber-physical systems (ACPS) due to the heterogeneity between frames payload and periods. Recently, the cluster-based method was used to solve the problem of CAN-FD frame packing. However, this method does not consider both payload and period and ignores the impact of signal sequence. In this study, we propose a cluster-based CAN-FD frame packing framework by presenting two strategies, namely, a strategy that maximizes frame size (MAXFS) and a strategy that minimizes frame bus utilization (MINFBU). We first use MAXFS to pack the signal with the same period into a frame and maximize the frame size; then, MINFBU is used to pack the signal into any frame and minimize bus utilization. Experimental results show that the proposed framework can reduce bus utilization and deviation rate more effectively compared with the state-of-the-art counterparts.

中文翻译：

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基于集群的CAN-FD帧打包框架优化使用两种策略

由于帧有效载荷和周期之间的异质性，最小化帧总线利用率对于汽车信息物理系统 (ACPS) 中具有灵活数据速率 (CAN-FD) 的控制器局域网来说是一个难题。最近，基于集群的方法被用于解决CAN-FD帧打包问题。但是，这种方法没有同时考虑有效载荷和周期，也忽略了信号序列的影响。在这项研究中，我们提出了一种基于集群的 CAN-FD 帧打包框架，提出了两种策略，即最大化帧大小的策略（MAXFS）和最小化帧总线利用率的策略（MINFBU）。我们首先使用MAXFS将相同周期的信号打包成一帧，并最大化帧大小；然后，MINFBU 用于将信号打包到任何帧中并最小化总线利用率。