摘要
为保证多能源系统转矩的合理分配,建立了模糊逻辑控制模型,并采用ANFIS优化算法,对建立的混合动力汽车模糊控制模型进行优化。通过对ANFIS神经网络模型进行训练、测试和仿真分析,结果表明:模糊控制模型的隶属函数得到了优化,将优化模型应用于整车仿真,与模糊逻辑控制策略相比,燃油经济性提高5.4%。
In order to ensure the torque allocation of multi-power sources rationally, the fuzzy logic control mode was proposed. The fuzzy control model of the HEV was optimized based on ANFIS algorithm andthen the training, test and simulation analysis were performed for the ANFIS neural network model The results prove that the membership functions of fuzzy model obtain the satisfactory effect. Applying the optimization model in the simulation, the fuel economy of SQR-HEV raises 5.4% compared to the fuzzy logic control strategy.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2006年第5期1384-1387,共4页
Journal of System Simulation
基金
国家863重大专项资助项目(2001AA501310)
