BP模糊神经网络纯电动汽车电机控制  

Motor Control of Pure Electric Vehicle Based on BP Fuzzy Neural Network Control

作　　者：陈燎[1] 丁猛[1] 盘朝奉[1,2] 

机构地区：[1]江苏大学汽车与交通工程学院,江苏镇江212013 [2]江苏大学汽车工程研究院,江苏镇江212013

出　　处：《河南科技大学学报（自然科学版）》2016年第4期32-35,40,共5页Journal of Henan University of Science And Technology:Natural Science

基　　金：国家"863"计划基金项目(2012AA111401);国家自然科学基金项目(51105178);江苏省自然科学基金项目(BK2011489);江苏省六大人才高峰基金项目(2013-XNY-002)

摘　　要：针对传统比例积分(PI)控制在电机控制中控制效果不良的问题,设计了一种基于向后传播算法(BP)模糊神经网络的PI控制器。基于MATLAB/Simulink建立了纯电动汽车驱动系统的仿真模型,将驾驶员操作与电机驱动联系起来,在自主研发的整车惯性模拟台架上进行试验。仿真和试验结果均表明:在ECE城市工况下,采用BP模糊神经网络控制的纯电动汽车实际车速能较好地跟随工况需求车速,速度偏差在±2 km/h以内。A proportional integral( PI) controller was designed based on back propagation( BP) fuzzy neural network to solve the problem that traditional PI control could not reach good control effect of the motor. Driver operation was connected with motor drive. The simulation model of drive system of pure electric vehicle was established based on MATLAB / simulink. The test was carried on vehicle inertia simulation bench. The simulation and experimental results show that pure electric vehicle objective speed can meet the requirement and the speed deviation is less than 2 km / h when controlled by BP fuzzy neural network in economic commission of Europe urban conditions.

关 键 词：纯电动汽车 电机控制 神经网络 控制策略 循环工况测试 

分 类 号：U469.72[机械工程—车辆工程]