纯电动汽车回馈制动的模糊算法

为改善电动汽车的再生制动能量回收率,设计了一种以驾驶员制动、车速、电池荷电状态(SOC)和电池组温度为输入参数,以再生制动力为输出的Sugeno型模糊算法控制器。通过改进ADVISOR中VEH_SMCAR车模型的原有制动力分配规则,电池SOC、电池电流和电机转矩得到提高。仿真结果表明:改进的模糊控制算法和制动力分配规则合理可行,在保证车辆良好制动性能的前提下,可以降低电池在一个CYC_UDDS循环工况下的耗电量,提高能量利用率,有效延长电动汽车一次充电续驶里程。该研究为纯电动汽车再生制动控制策略的制定提供了参考。

Fuzzy logic in regenerative braking of EV

To improve the efficiency of recycling the regenerative brake energy for electrical vehicles,we design a Sugeno’s fuzzy logic controller which has four inputs including driver’s requirement of braking force,vehicle speed,batteries’ state of charger（SOC） and batteries’ temperature and one output which is the regenerative braking force.We do some improvement on the force distribution of the original model of VEH_SMCAR in ADVISOR,so batteries’SOC,batteries’ current and motor’s torque can be increased.The simulation results show the fuzzy control logic and the force distribution regulation are reasonable and feasible,under the conditions of ensuring braking quality,which can decrease the consumption of electrical quantity in a driving cycle of CYC_UDDS,improve the energy usage efficiency and prolong the driving distance of EV per charge.The study can provide reference for the control strategy of the regenerative brake energy for electrical vehicles.