江苏大学学报（自然科学版）2017，Vol.38Issue(6)：652-657,6.DOI:10.3969/j.issn.1671-7775.2017.06.006
基于FCMAC神经网络的PHEV转矩分配策略
Torque distribution strategy of PHEV based on FCMAC neural network
摘要
Abstract
Due to the important impact of hybrid electric vehicle (HEV) distribution strategy on vehicle fuel economy and emissions,a vehicle torque distribution method was propared based on fuzzy cerebellar model articulation controller (FCMAC) neural network control.Based on the pre-gearbox twin-axle torque coupled PHEV,the FCMAC neural network control strategy was established with engine output torque as target.After discretization,the rule multiplied Gaussian fuzzy membership degree was inputted into FCMAC,and the engine torque was outputted through hash mapping and weight adjustment to realize the torque distribution of HEV.The simulation model was established on AVL-Cruise and Matlab/Simulink platform,and the simulation results were compared with those based on logic threshold control strategy.The results show that the FCMAC control strategy is better than the logic threshold control strategy under NEDC condition,and the fuel economy and the emissions of vehicle are improved.关键词
并联式混合动力汽车/模糊/小脑模型神经网络/转矩分配/仿真Key words
parallel hybrid electric vehicle/fuzzy/cerebellar model neural network/torque distribution/simulation分类
交通工程引用本文复制引用
张袅娜,周长哲,高泽霖,李彦阳..基于FCMAC神经网络的PHEV转矩分配策略[J].江苏大学学报（自然科学版）,2017,38(6):652-657,6.基金项目
吉林省科技厅项目(20160204056GX) （20160204056GX）
国家自然科学基金资助项目(61603060) （61603060）
