基于确定性规则的机电飞轮电动汽车控制策略

Control strategy for electromechanical flywheel electric vehicles based on deterministic rules

针对机电飞轮电动汽车工作模式复杂、能量管理困难等问题,提出了一种基于确定性规则的控制策略。该控制策略以车速、加速度、车辆需求转矩、电池荷电状态、飞轮能量状态为输入量,在满足车辆实际需求的前提下对电机、飞轮进行转矩分配。利用MATLAB/Simulink搭建整车模型,在NEDC工况下对机电飞轮电动汽车进行动力性和经济性仿真分析。仿真结果表明,整车百公里加速时间为11.8 s,最高车速为156.68 km/h,车速20 km/h时最大爬坡度为26%;在NEDC循环工况下其耗电量下降了0.89%,平均驱动效率提高了8.2%。该控制策略可以实现合理的转矩分配,能够保证机电飞轮电动汽车在动力性的基础上提高经济性。

In order to solve the problems of complicated working modes and difficult energy management of electromechanical flywheel electric vehicles,a control strategy based on deterministic rules is proposed.The control strategy takes vehicle speed,acceleration,demand torque,state of charge and energy state of flywheel as input variables,and distributes torque between motor and flywheel on the premise of meeting the actual demand of vehicle.The whole vehicle model is built by MATLAB/Simulink,and the power and economy performance of electromechanical flywheel electric vehicles are analyzed under NEDC condition.The simulation results show that the acceleration time of 0 to 100 km/h is 11.8 s,the maximum velocity is 156.68 km/h,and the maximum climbing degree is 26%when the vehicle speed is 20 km/h.Under the NEDC cycle conditions,the power consumption decreased by 0.89%,and the average driving efficiency increased by 8.2%.The control strategy can achieve reasonable torque distribution,which can ensure the power performance of electromechanical flywheel electric vehicles and achieve better economy performance.