基于模糊控制的纯电动汽车再生制动策略

为了保证纯电动汽车在减速或制动时获得最大的制动能量回收效率,同时保证车辆行驶的安全,以前驱型电动汽车为研究对象,通过应用模糊控制理论,提出了以制动强度z、电池的荷电状态(SOC)、制动意图的识别K为输入,制动能量回馈比a为输出的模糊控制策略;并建立再生制动模型,将此模型嵌入到ADVISOR的整车模型中,在ADVISOR软件中的城市道路循环(urban dynamometer driving dchedule,UDDS)工况下进行仿真。研究结果表明,在频繁制动的UDDS工况下,制动能量回收率比ADVISOR整车控制策略时的回收率提高了6. 55%,同时又可延长纯电动汽车的续航里程。

Table1.Fuzzy control rules for braking requirements

In order to ensure the maximum braking energy recovery efficiency of the pure electric vehicle during deceleration or braking, and to ensure the safety of the vehicle, this paper uses the fuzzy control theory as the research and applies the braking intensity z and the battery. The SOC, the identification of the braking intention K is the input, the braking energy feedback ratio a is the output fuzzy control strategy, and the regenerative braking model is established. This model is embedded in the ADVISOR vehicle model and is in the ADVISOR software. The simulation was carried out under the condition of CYYC_UDDS. The research shows that under the UDDS condition of frequent braking, the recovery rate of braking energy is 6.55% higher than that of the ADVISOR vehicle control strategy, and the mileage of pure electric vehicles can be extended.