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

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.