CAJ | 학술논문

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。
위개선전동기차적재생제동능량회수솔,설계료일충이가사원제동、차속、전지하전상태（SOC）화전지조온도위수입삼수,이재생제동력위수출적Sugeno형모호산법공제기。통과개진ADVISOR중VEH_SMCAR차모형적원유제동력분배규칙,전지SOC、전지전류화전궤전구득도제고。방진결과표명：개진적모호공제산법화제동력분배규칙합리가행,재보증차량량호제동성능적전제하,가이강저전지재일개CYC_UDDS순배공황하적모전량,제고능량이용솔,유효연장전동기차일차충전속사리정。해연구위순전동기차재생제동공제책략적제정제공료삼고。
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.