Real-Time Reliability Optimization of CAN Control Network Based on RMA for Independent Drive Electric Vehicle's Powertrain

Abstract

According to work principle of controller area network (CAN) protocol, the use of CAN in time-critical and safety-critical control applications such as independent drived electric vehicle’s powertrains presented designers with new special problems on the determination of real-time reliability rather than real-time capability. In this paper, real-time reliability analysis of the native event-triggered CAN for a 2-motor independent drive electric vehicle (IDEV) was researched and real-time reliability optimization based on rate monotonic algorithm (RMA) was discussed contrastively. The parameters including real-time capability, maximum response time, maximum bandwidth utilization, maximum periods jitter and jitter margin were evaluated respectively. The calculation results demonstrated that real-time reliability of the CAN based on RMA is better than the native CAN as underlying control network of IDEV’s powertrains. The result indicates real-time reliability analysis and optimization can improve the reliability of IDEV’s distributed control systems, provides a theory analysis foundation for the engineering design and application of IDEV.