摘要
为一辆混合动力客车(HEB)提出了一种模糊控制与微粒群优化相结合的控制策略。构建了以需求转矩与发动机最佳转矩之差和超级电容荷电状态为输入,以发动机转矩为输出的模糊控制器,并以等效燃油消耗为优化目标,利用微粒群算法对模糊隶属度函数和模糊控制规则进行优化。基于Matlab/Advisor建立了HEB模糊控制策略模型和整车模型,并进行HEB整车动力性和经济性分析。结果表明所提出的控制策略能够满足HEB的设计要求,等效燃油消耗量约降低了10.1%。
A control strategy combining fuzzy control and particle swarm optimization（PSO） is proposed for a hybrid electric bus（HEB）.A fuzzy controller is constructed with the difference between the requested torque and optimal engine torque and the state of charge of super capacitor as inputs,and the engine torque as output.With equivalent fuel consumption as optimization objective,the fuzzy membership functions and fuzzy control rules are optimized by PSO.The models for fuzzy control strategy and HEB are established based on Matlab/Advisor,and the power performance and fuel economy of HEB are analyzed.The results showed that the control strategy can meet the design requirements of HEB with equivalent fuel consumption reduces by some 10.1%.
出处
《汽车工程》
EI
CSCD
北大核心
2011年第7期553-557,共5页
Automotive Engineering
基金
国家"863"节能与新能源汽车重大项目(2008AA11A139)资助
