An Intelligent Energy Management Strategy of Hybrid Vehicles Based on Traffic Preview Information

C. Zheng, Guoqing Xu, Sukwon Cha
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Abstract

Traffic preview information is helpful when constructing energy management strategies for hybrid vehicles. In this paper, an optimal control theory-based energy management strategy for fuel cell hybrid vehicles is proposed, which optimizes the vehicle's velocity profile when minimizing the fuel consumption based on the traffic preview information. The control problem is formulated and the proposed energy management strategy is applied to a fuel cell hybrid vehicle in a computer simulation environment. Simulation results show that the fuel economy is improved by the proposed energy management strategy compared to the case where the vehicle velocity is not optimized.
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基于交通预览信息的混合动力汽车智能能量管理策略
交通预览信息有助于构建混合动力汽车的能源管理策略。提出了一种基于最优控制理论的燃料电池混合动力汽车能量管理策略,该策略基于交通预览信息,在油耗最小的情况下优化车辆的速度分布。在计算机仿真环境下,将所提出的能量管理策略应用于燃料电池混合动力汽车的控制问题。仿真结果表明,与未优化车速的情况相比,所提出的能量管理策略提高了燃油经济性。
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