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Cyber-Physical Control for Energy-Saving Vehicle Following With Connectivity

机译:连接后的节能汽车的网络物理控制

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This article aims to develop an optimal look-ahead control framework to maximize car-following fuel economy, while fulfilling requirements of intervehicle safety. Three original contributions make this work distinctive from the existing relevant literature. First, a model predictive fuel-optimal controller is constructed to optimize the vehicle speed and continuously variable transmission (CVT) gear ratio. The controller leverages state trajectories of the leading vehicle transmitted via Vehicle-to-Vehicle/Vehicle-to-Infrastructure (V2V/V2I) communication. How operating conditions affect the engine efficiency and CVT efficiency is explicitly taken into account. Second, the controller is sufficiently evaluated in a variety of traffic flows, such as cruising, urban, and highway-like driving, and is compared with a short-sighted alternative without V2V/V2I connectivity. Finally, we further demonstrate the advantages of the proposed scheme by a comparison with two existing benchmark controllers.
机译:本文旨在开发一种最佳的超前控制框架,以最大程度地满足汽车的燃油经济性,同时满足车辆安全性的要求。三项原创性著作使这项工作与现有相关文献截然不同。首先,构建模型预测燃料最优控制器,以优化车速和无级变速(CVT)齿轮比。控制器利用通过车辆到车辆/车辆到基础设施(V2V / V2I)通信传输的领先车辆的状态轨迹。明确考虑了工况如何影响发动机效率和CVT效率。其次,对控制器进行各种交通流(例如巡航,城市和高速公路驾驶)的充分评估,并将其与没有V2V / V2I连接的近视替代方案进行比较。最后,通过与两个现有基准控制器的比较,我们进一步证明了该方案的优势。

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