基于PSO⁃模糊的PHEV转矩分配策略研究

Research on PHEV fuzzy torque allocation strategy based on PSO

为了实现复杂工况下并联混合动力汽车发动机和电机转矩的最优分配,提出一种基于粒子群算法优化的模糊转矩分配策略。首先以整车需求转矩和蓄电池组SOC为输入,发动机输出转矩为输出,设计了转矩分配模糊控制器;其次针对传统模糊转矩分配策略无法实现发动机和电机转矩最优分配的问题,以整个循环工况总的燃油消耗量、蓄电池组SOC变化量和尾气排放量作为约束条件,采用粒子群算法优化模糊控制器的隶属度函数参数和模糊控制规则权值,设计了粒子群优化模糊转矩分配策略;最后利用ADVISOR软件在多种循环工况下仿真验证。仿真结果对比分析表明:粒子群算法优化后的模糊转矩分配策略在保证蓄电池组SOC稳定的前提下,有效地提高了发动机平均工作效率,减少了并联混合动力汽车的燃油消耗和尾气排放。

In order to realize the optimal torque distribution of parallel hybrid electric vehicle(PHEV)engine and motor under complex working conditions,a fuzzy torque distribution strategy based on particle swarm optimization(PSO)is proposed.A torque distribution fuzzy controller is designed with the required torque of the whole vehicle and SOC of the battery as inputs and the output torque of the engine as output.In allusion to the problem that the traditional fuzzy torque distribution strategy can′t realize the optimal torque distribution between engine and motor,the PSO fuzzy torque distribution strategy is designed by using PSO to optimize the membership function parameters of fuzzy controller and the weights of fuzzy control rules,taking the total fuel consumption,SOC variation of battery pack and exhaust emissions as constraints under the whole cycle condition.The ADVISOR software is used to simulate and verify the strategy under various cycle conditions.The simulation results show that the fuzzy torque distribution strategy optimized by PSO can effectively improve the average working efficiency of the engine and reduce the fuel consumption and exhaust emissions of PHEV on the premise of ensuring the stability of battery SOC.