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为了降低混合动力汽车的能耗,提高其能量回收率及减少其尾气排放量,对并联式混合动力汽车(PHEV)的能量管理系统采用基于粒子群优化的模糊控制进行分析与设计。首先在Matlab中的Simulink软件上建立了模糊控制器模型,根据经验设计模糊控制规则;然后将模糊控制器嵌入到Advisor仿真软件的并联式混合动力汽车模型中,并用粒子群优化算法对该模糊控制器进行优化;最后选择几种典型的运行路况进行仿真分析研究。仿真结果表明,在满足汽车行驶性能的前提下,优化后的模糊控制器不仅能有效降低尾气的排放,并且能明显提高能量回收率。
In order to reduce the energy consumption of HEV, improve its energy recovery rate and reduce its exhaust emissions, the energy management system of PHEV is analyzed and designed using fuzzy control based on Particle Swarm Optimization (PSO). Firstly, the fuzzy controller model is established on the Simulink software in Matlab, and the fuzzy control rules are designed based on experience. Then, the fuzzy controller is embedded into the parallel hybrid vehicle model of Advisor simulation software, and the particle swarm optimization Optimization; Finally, choose several typical operating conditions for simulation analysis. The simulation results show that the fuzzy controller can not only effectively reduce the emission of tail gas, but also increase the energy recovery obviously while meeting the driving performance of the vehicle.