基于FTT-CAN的电动汽车动态调度算法研究
发布时间：2018-11-11 21:45
【摘要】：针对在控制器局域网(CAN)总线中存在低优先级信息会因为高优先级信息频繁占用总线而出现的死锁问题,在车辆控制系统中引入柔性时间触发机制组建柔性事件触发控制器局域网(FTT-CAN),针对周期信息和随机信息,分别在FTT-CAN的同步相和异步相中采用最早截止期优先(EDF)调度和动态提升优先级(DPP)调度,介绍了FTT-CAN触发原理,提出基于EDF和DPP的动态调度算法,将该调度算法应用于典型电动汽车控制系统模型的调度,验证了该调度算法的优越性。
[Abstract]:In view of the deadlock problem of low priority information in the (CAN) bus of the controller LAN because the high priority information frequently occupies the bus, Flexible time trigger mechanism is introduced into vehicle control system to construct flexible event trigger controller local area network (FTT-CAN), which aims at period information and random information. In the synchronous phase and asynchronous phase of FTT-CAN, the earliest deadline priority (EDF) scheduling and dynamic lifting priority (DPP) scheduling are adopted, respectively. The principle of FTT-CAN trigger is introduced, and the dynamic scheduling algorithm based on EDF and DPP is proposed. The algorithm is applied to the scheduling of typical electric vehicle control system model, and the superiority of the algorithm is verified.
【作者单位】： 交通运输部公路科学研究院运输车辆运行安全技术交通运输行业重点实验室;辽宁工程技术大学;
【基金】：交通运输部应用基础研究计划项目:道路运输动态监控数据分析方法及其应用研究(2014319223240) 国家自然科学基金(51305181,51405213)
【分类号】：TP301.6;U469.72
本文编号：2326226
[Abstract]:In view of the deadlock problem of low priority information in the (CAN) bus of the controller LAN because the high priority information frequently occupies the bus, Flexible time trigger mechanism is introduced into vehicle control system to construct flexible event trigger controller local area network (FTT-CAN), which aims at period information and random information. In the synchronous phase and asynchronous phase of FTT-CAN, the earliest deadline priority (EDF) scheduling and dynamic lifting priority (DPP) scheduling are adopted, respectively. The principle of FTT-CAN trigger is introduced, and the dynamic scheduling algorithm based on EDF and DPP is proposed. The algorithm is applied to the scheduling of typical electric vehicle control system model, and the superiority of the algorithm is verified.
【作者单位】： 交通运输部公路科学研究院运输车辆运行安全技术交通运输行业重点实验室;辽宁工程技术大学;
【基金】：交通运输部应用基础研究计划项目:道路运输动态监控数据分析方法及其应用研究(2014319223240) 国家自然科学基金(51305181,51405213)
【分类号】：TP301.6;U469.72
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