Vehicle Energy Management Optimisation through Digital Maps and Connectivity
Vehicle Energy Management Optimisation through Digital Maps and Connectivity
复制标题
通过数字地图和连接优化车辆能源管理
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
A. Rousseau
中科院分区：
文献类型：
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作者：
D. Karbowski;Vadim O. Sokolov;A. Rousseau
有机会使用实时更新的数字地图来改善车辆的能源管理。在本文中，作者提出的研究如何能够实现在特定情况下的插电式混合动力电动汽车。通过对前方行程的充分了解，可以找到车辆的最佳控制。然而，数字地图仅提供关于未来行程的平均信息，例如停靠站的位置、交叉口类型和平均速度。首先，作者演示了作者如何为给定的行程生成自然的速度曲线。作者通过旅行调查和马尔可夫链的实际记录速度来增强数字地图的信息。其次，作者详细介绍了如何将这些速度曲线用于控制优化。作者使用庞特里亚金最小值原理来优化车辆能源管理，然后使用Autonomie仿真工具评估实际燃油节省。
There is an opportunity for using digital maps with real-time updates to improve the energy management of vehicles. In this paper the authors present research on how this can be achieved in the particular case of plug-in hybrid electric vehicles. With perfect knowledge of the trip ahead, it is possible to find the optimal control of the vehicle. Digital maps however only provide averaged information about the future itinerary, such as location of stops, intersection type and average speed. First, the authors demonstrate how the authors can generate naturalistic speed profiles for a given itinerary. The authors do so by augmenting the information from digital maps by actual recorded speeds from a travel survey and Markov chains. Secondly, the authors detail how these speed profiles can be used for control optimization. The authors used the Pontryagin minimum principle to optimally tune the vehicle energy management and then evaluated the actual fuel savings using the Autonomie simulation tool.