Abstract

FlexRay is becoming the in-vehicle communication network of the next generation. In this study, the main contents are the FlexRay network static segment scheduling algorithm and optimization strategy, improve the scheduling efficiency of vehicle network and optimize the performance of communication network. The FlexRay static segment characteristic was first analyzed, then selected bandwidth utilization as the performance metrics to scheduling problem. A signal packing method is proposed based on Next Fit Decreasing (NFD) algorithm. Then Frame ID (FID) multiplexing method was used to minimize the number of FIDs. Finally, experimental simulation by CANoe. FlexRay software, that shows the model can quickly obtain the message schedule of each node, effectively control the message payload size and reduced bus payload by 16.3%, the number of FID drops 53.8% while improving bandwidth utilization by 32.8%.

Highlights

  • With the improvement of the automobile electronization, it results in the rapid increase of modules numbers and more complicated systematic functions for realization more advanced software and electronic functions

  • This study focused on the FlexRay static segment scheduling, and analyzed transmission characteristics of static segment message, proposed the network evaluation criteria

  • Next Fit Decreasing (NFD) algorithm, the signal encapsulation problem is converted to a packing problem

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Summary

Introduction

With the improvement of the automobile electronization, it results in the rapid increase of modules numbers and more complicated systematic functions for realization more advanced software and electronic functions. In order to satisfy the increasing demand of communication network in vehicle electronic control system under the premise of ensuring the safety and reliability of vehicle bus network system, FlexRay message scheduling fusion technology is a one of the key points. In this study, based on Fit Decreasing (NFD) algorithm for static segment of FlexRay bus, a message optimization scheme will be mentioned to achieve the high efficiency of FlexRay network. This scheme will resolve problems, like synthesizing the schedule of FlexRay static segment, solving the signal and Frame ID (FID) allocation problems, reducing the bandwidth and improving network utilization at the same time, as well as reducing the number of FID

FlexRay
A FlexRay
Periodic Signal Packing
Experimental Results
Comparison
Running
Conclusions
Full Text
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