基于路况预测的PHEV能量管理策略  

Energy Management Strategy of PHEV Based on Traffic Prediction

作　　者：马灵灵[1] 付主木[1] 李东卫[1] 

机构地区：[1]河南科技大学信息工程学院,河南洛阳471023

出　　处：《计算机测量与控制》2017年第5期207-211,共5页Computer Measurement &Control

基　　金：国家自然科学基金(61473115);河南省科技创新人才杰出青年计划(144100510004)

摘　　要：为了提高插电式混合动力汽车(plug-in hybrid electric vehicle,PHEV)的燃油经济性,减少排放,提出了基于路况预测的PHEV能量管理策略;首先,建立PHEV系统结构并在此基础上依据动力电池SOC(State of charge)变化规律定义了3种PHEV基本工作模式;然后,设计路况识别模糊控制器对当前行驶路况进行识别并预测;最后,根据预测的路况类型结合合理规划的动力电池SOC的曲线约束,制定PHEV能量管理策略;仿真结果表明,该能量管理策略能够较好的使动力电池SOC保持在设定的参考轨迹附近,提高燃油经济性,减少排放。In order to improve the fuel economy and reduce emissions of plug-in hybrid electric vehicles,a PHEV energy management strategy based on road condition prediction is proposed.Firstly,the PHEV system structure is established and three kinds of PHEV basic working modes are defined based on the SOC(State of charge)change trajectories of the battery packs.Then,the traffic condition fuzzy controller is designed to recognize the current road condition.Finally,according to the type of traffic prediction in combination with the curve of the reasonable planning of power battery SOC constraints,the energy management strategy of PHEV is developed.The simulation results show that the energy management strategy can make the SOC of the power battery keep fluctuating around the set reference trajectory to improve the fuel economy and reduce the emission.

关 键 词：插电式混合动力汽车 行驶路况识别 SOC参考轨迹 能量管理 

分 类 号：TP15[自动化与计算机技术—控制理论与控制工程]