基于道路坡度信息的插电式混合动力汽车能量管理策略

考虑道路坡度对整车驱动需求的影响，针对插电式混合动力汽车，提出基于道路坡度信息的插电式混合动力汽车能量管理策略，进行车载导航系统在整车能量管理策略中应用的初步探究。根据车载导航系统提供的道路信息，建立坡道行驶电量消耗预估模型，分别对行程中电量消耗阶段和电量维持阶段动力电池的荷电指数进行规划，提出行车预充电时刻规划准则，使车辆在坡道行驶前动力电池的荷电指数达到预定值，保证车辆在坡道行驶时不会因动力电池亏电造成动力不足或过放电有损动力电池的使用寿命，并在上坡行驶结束后动力电池的荷电指数下降到临界值，有利于充分吸收制动回收的电能。利用MATLAB/Simulink仿真平台，对提出的能量管理策略进行仿真验证。本文所提出的基于坡道预测的能量管理策略能够避免动力电池的过放电，确保车辆上坡行驶过程电量充足。

Energy management for plug-in hybrid electric vehicles based on road gradient

In consideration of the impact of road gradient on the vehicle driving demand, a predictive energy management strategy was proposed for plug-in hybrid electric vehicles ( PHEVs) on the basis of road gradient provided by the vehicle navigation system. The knowledge of route data ( trip distance, road gradient and altitude) was used to predict the electricity consumption. Then the state-of-charge ( SOC) trajectory was planned for the charge depleting ( CD) mode and the charge sustaining ( CS) mode. With exact calculations of the charge timing, the SOC was charged to the target value before uphill and reached to the threshold after uphill in case of battery electricity shortage and over-discharge during uphill. The proposed adaptive SOC control strategy can improve the vehicle performance and is in favor of the full absorption of regenerative braking energy. Based on the MATLAB/Simulink platform, a simula-tion model was built for the plug-in hybrid electric system. The proposed energy management strategy based on road gradient prediction was verified to avoid battery over-discharge and to ensure sufficient electric energy during uphill.