1673-159X

CN 51-1686/N

基于规则的燃料电池汽车能量管理策略

Rule-based Energy Management Strategy for Fuel Cell Vehicles

  • 摘要: 为有效利用燃料电池汽车能量,以燃料电池与动力电池组合的混合型燃料电池汽车动力系统作为研究对象进行能量管理策略(EMS)研究。使用AVL Cruise软件搭建燃料电池汽车整车仿真模型,基于Matlab/Simulink软件制定结合固定规则和模糊逻辑控制规则的能量管理策略,并根据整车需求功率及电池荷电状态(SOC)等参数将燃料电池汽车划分为4种不同的工作模式;通过对燃料电池汽车工作模式进行分析,在工作模式3中加入模糊控制器实现车辆需求功率在燃料电池和动力电池之间的分配;选取车辆需求功率、电机转速以及电池SOC作为模糊控制器的输入参数,以功率分配系数K作为模糊控制器的输出参数;基于全球统一轻型车辆测试循环(WLTC)工况对制定的能量管理策略进行仿真分析。结果表明,制定的能量管理策略有较好的车速跟随效果,电池未出现过度充放电的情况。

     

    Abstract: In order to effectively utilize the energy of fuel cell vehicles, the hybrid fuel cell vehicle power system combining fuel cells and power cells is taken as the research object to carry out energy management strategy (EMS) research. A fuel cell vehicle simulation model was set up by using AVL Cruise software. Based on Matlab/Simulink software, an energy management strategy combining fixed rules and fuzzy logic control rules was developed, and fuel cell vehicles were divided into four different working modes according to parameters such as vehicle power demand and battery state of charge (SOC). By analyzing the working mode of fuel cell vehicles, a fuzzy controller was added in working mode 3 to achieve the distribution of vehicle demand power between fuel cells and power cells. The required power of the vehicle, motor speed, and battery SOC were taken as the input parameters of the fuzzy controller, and the power distribution coefficient K was regarded as the output parameter of the fuzzy controller. Based on the globally unified light vehicle test cycle (WLTC) operating conditions, simulation analysis was conducted on the formulated energy management strategy. The simulation results show that the formulated energy management strategy has a good speed following effect, and there is no overcharging or discharging of the battery.

     

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