HEV模糊能量管理策略优化研究  

Research on energy management strategy of HEV based on fuzzy control

作　　者：陶正叁 李泽滔[1] TAO Zhengsan;LI Zetao(School of Electrical Engineering,Guizhou University,Guiyang 550025,Guizhou,China)

机构地区：[1]贵州大学电气工程学院,贵州省贵阳市550025

出　　处：《农业装备与车辆工程》2023年第10期7-11,17,共6页Agricultural Equipment & Vehicle Engineering

基　　金：国家自然科学基金资助项目(61963009)。

摘　　要：能量管理策略是混合动力汽车(Hybrid Electric Vehicle,HEV)的关键技术之一,它对汽车的燃油经济性和尾气排放性能起决定性作用。选择并联式混合动力汽车作为研究对象,通过MATLAB/Simulink与Advisor建立了整车控制运动模型,根据其工作模式设计一种基于模糊控制的能量管理策略,并采用基于模拟退火改进的粒子群算法对模糊控制器进行优化。仿真结果表明,基于模拟退火改进粒子群(SA-IPSO)优化的模糊控制能量管理策略可以在满足车辆行驶性能的情况下,有效提升燃油经济性,降低尾气排放。Energy management strategy is one of the key technologies of Hybrid Electric Vehicle(HEV),which plays a decisive role in the fuel economy and exhaust emission performance of the vehicle.The parallel hybrid electric vehicle was selected as the research object,the vehicle control motion model was established through MATLAB/Simulink and Advisor,an energy management strategy based on fuzzy control was designed according to its working mode,and an improved particle swarm algorithm based on simulated annealing was used to optimize the fuzzy controller.The simulation results showed that the fuzzy control energy management strategy based on the simulated annealing improved particle swarm optimization(SA-IPSO)could effectively improve the fuel economy and reduce the exhaust emissions while meeting the driving performance of the vehicle.

关 键 词：混合动力汽车 模糊控制 能量管理策略 粒子群优化 燃油经济性 

分 类 号：U468.7[机械工程—车辆工程] TP391.9[交通运输工程—载运工具运用工程]