Energy-Optimal Control of Plug-in Hybrid Electric Vehicles for Real-World Driving Cycles
Energy-Optimal Control of Plug-in Hybrid Electric Vehicles for Real-World Driving Cycles
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DOI：
10.1109/tvt.2011.2158565
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发表时间：
2011-06
影响因子：
6.8
通讯作者：
S. Stockar;V. Marano;M. Canova;G. Rizzoni;L. Guzzella
中科院分区：
文献类型：
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作者：
S. Stockar;V. Marano;M. Canova;G. Rizzoni;L. Guzzella
插电式混合动力电动车辆（PHEV）由于能够通过直接连接到电网来存储能量，因此目前被认为是用于减少燃料消耗和排放的有前景的解决方案。只有通过优化车辆能源利用的监督能源管理策略才能实现这些好处。由于在使用期间耗尽电池的可能性以及在充电期间车辆与电网的相互作用，该控制问题对于PHEV特别具有挑战性。本文提出了一种基于模型的控制方法，PHEV能源管理的基础上，最大限度地减少总的二氧化碳排放量产生的直接和间接的车辆利用。一个监督能源管理制定为一个全球性的最优控制问题，然后通过应用庞特里亚金的最小值原则，到一个局部问题。所提出的控制器中实现的原型PHEV的基于能量的模拟器和实验数据进行验证。进行了模拟研究，以校准的控制参数，并调查车辆使用条件，环境因素和地理场景的PHEV性能的影响，使用大型数据库的监管和“现实世界”的驾驶配置文件。
Plug-in hybrid electric vehicles (PHEVs) are currently recognized as a promising solution for reducing fuel consumption and emissions due to the ability of storing energy through direct connection to the electric grid. Such benefits can be achieved only with a supervisory energy management strategy that optimizes the energy utilization of the vehicle. This control problem is particularly challenging for PHEVs due to the possibility of depleting the battery during usage and the vehicle-to-grid interaction during recharge. This paper proposes a model-based control approach for PHEV energy management that is based on minimizing the overall CO2 emissions produced-directly and indirectly-from vehicle utilization. A supervisory energy manager is formulated as a global optimal control problem and then cast into a local problem by applying the Pontryagin's minimum principle. The proposed controller is implemented in an energy-based simulator of a prototype PHEV and validated on experimental data. A simulation study is conducted to calibrate the control parameters and to investigate the influence of vehicle usage conditions, environmental factors, and geographic scenarios on the PHEV performance using a large database of regulatory and “real-world” driving profiles.