模糊控制应用于混动汽车能量管理策略具有可靠性高、实时性好以及鲁棒性好等优点，针对模糊控制能量管理策略存在的主观依赖性强、车速跟随效果差等问题，以研究先进混动控制技术与智能优化算法为目标，提出一种基于优化模糊控制的并联式混合动力系统能量管理策略。依据混合动力系统中发动机和电机的转速、转矩和效率等特性，制定基于模糊规则的混合动力系统的能量控制策略。然后针对模糊逻辑参数调整的局限性，引入等效油耗的概念，以整车等效油耗最优为优化目标，结合麻雀搜索群智能算法进一步对模糊控制器的隶属度函数进行优化。最后，运用Matlab/Simulink搭建控制策略模型，并联合Simcenter/AMESim搭建的车辆物理模型进行仿真试验，结果表明：在CHTC-D循环工况下，基于优化模糊控制的混合动力汽车控制策略与模糊控制策略相比，SOC波动量降低了7.02%，燃油经济性提高了5.93%，为混合动力汽车控制策略制定提供了可靠依据。

The application of fuzzy control to the energy management strategy of hybrid electric vehicle has the advantages of high reliability, good realtime performance and good robustness, but for the strong subjective dependence and poor vehicle speed following effect, an energy management strategy of parallel hybrid system based on optimized fuzzy control was hence proposed to research the advanced hybrid control technology and intelligent optimization algorithm. According to the speed, torque and efficiency of the engine and motor in the hybrid power system, the energy control strategy of hybrid power system was formulated based on the fuzzy rules. Considering the limitation of fuzzy logic parameter adjustment, the concept of equivalent fuel consumption was introduced, the optimal equivalent fuel consumption of whole vehicle was taken as the optimization goal, and the membership function of fuzzy controller was further optimized by combining with the sparrow search swarm intelligence algorithm. Finally, the control strategy model was built by Matlab/Simulink, and the simulation experiment was conducted by combining with the vehicle physical model built by Simcenter/AMESim. The results show that the SOC fluctuation reduces by 7.02% and the fuel economy improves by 5.93% under the conditions of CHTC-D cycle after using the improved strategy, which provides a reliable basis for the formulation of hybrid electric vehicle control strategy.