Dynamic Switching Speed Reconfiguration for Engine Performance optimization
Dynamic Switching Speed Reconfiguration for Engine Performance optimization
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DOI：
10.1145/3316781.3317806
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
Chao Peng;Yecheng Zhao;Haibo Zeng
中科院分区：
文献类型：
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作者：
Chao Peng;Yecheng Zhao;Haibo Zeng
当今的汽车发动机控制系统采用多种控制策略，在计算负载和性能之间进行权衡。目前的做法是，发动机控制系统改变控制策略的切换速度是离线固定的，通常基于标准驾驶周期中的平均驾驶需求（即车辆随时间的速度分布）。这显然是次优的，因为它无法捕捉到驾驶周期的变化，而实际的驾驶周期可能与标准的驾驶周期有很大的不同。在本文中，我们提出了基于预测的驱动周期动态调整开关速度。我们开发了一套混合可调度性分析技术，以驯服确保发动机控制任务的实时可调度性的复杂性。我们设计了一个有效的优化算法，提供接近最优的解决方案。实验结果表明，我们的方法有效地找到了动态切换速度比静态切换速度显著提高发动机性能的方法。
Today’s automotive engine control systems adopt several control strategies that come with tradeoffs between computational load and performance. The current practice is that the switching speeds at which the engine control system changes control strategy is fixed offline, typically based on the average driving need in a standard driving cycle (i.e., vehicle speed profile over time). This is clearly suboptimal since it fails to capture the variation in the driving cycle, and the actual driving cycle may be considerably different from the standard one. In this paper, we propose to dynamically adjust switching speeds based on the predicted driving cycle. We develop a hybrid set of schedulability analysis techniques to tame the complexity of ensuring the real-time schedulability of engine control tasks. We design an effective and efficient optimization algorithm that provides close-to-optimal solutions. Experimental results demonstrate that our approach efficiently finds dynamic switching speeds that significantly improve engine performance over static ones.