This paper researches on a cyber-physical energy-saving control framework for a plug-in hybrid aircraft-towing tractor, in which, an online optimization methodology named the online swarm intelligent programming (OSIP) is proposed. The new methodology obtains real-time optimal control signals from the vehicle to everything (V2X) network, and the widely used charge depleting/charge sustaining strategy is upgraded to a more adaptive and intelligent level. The energy flow of the hybrid aircraft-towing tractor with connectivity is first analyzed and modeled for OSIP. The optimal control problem is then formulated as an online integer optimization and the OSIP algorithm based on chaos-enhanced accelerated swarm optimization is developed to minimize the powertrain power loss in real-time. Finally, the advantages of the new energy management system are demonstrated and evaluated by hardware-in-the-loop testing. The results show that up to 17% fuel and 13% total energy loss can be saved via the proposed cyber-physical control.

中文翻译：

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基于在线群体智能编程的混合动力飞机牵引车信息物理节能控制


本文研究了插电式混合动力飞机牵引车的信息物理节能控制框架，提出了一种在线群体智能编程（OSIP）在线优化方法。新方法获得了从车辆到万物（V2X）网络的实时最优控制信号，并将广泛使用的电量耗尽/电量维持策略升级到更具适应性和智能的水平。首先针对 OSIP 对具有连接功能的混合动力飞机牵引车的能量流进行分析和建模。然后将最优控制问题表述为在线整数优化，并开发基于混沌增强加速群优化的 OSIP 算法，以实时最小化动力系统功率损耗。最后，通过硬件在环测试对新能源管理系统的优势进行了论证和评估。结果表明，通过所提出的网络物理控制可以节省高达 17% 的燃料和 13% 的总能量损失。