基于混沌神经网络的混合动力汽车状态切换协调控制策略研究  

Research on Hybrid Electric Vehicle State Switch Coordinated Control Strategy Based on Chaotic Neural Network

作　　者：张允[1,2] 侯丽华[1] 毕铭轩 梁春辉[1] 

机构地区：[1]长春工程学院 [2]吉林大学汽车仿真与控制国家重点实验室 [3]吉林省地方水电局

出　　处：《汽车技术》2015年第10期24-31,共8页Automobile Technology

基　　金：吉林省科技厅基金(201205046);国家自然科学基金(51276079)

摘　　要：针对并联混合动力汽车在发动机和电动机工作状态切换过程中非线性动力耦合系统工作状态所具有的混沌特征,提出了基于混沌神经网络的混合动力汽车状态切换协调控制策略。建立了协调控制总体模型构架,设计了混沌神经网络工作状态识别器,并通过试验对该识别器的准确性进行了验证。在此基础上搭建了协调控制系统整车控制模型,针对协调控制策略进行了仿真试验。结果表明,采用该控制策略能够有效提高整车动力性、燃油经济性与SOC平衡性,实现了对状态切换过程的协调控制。In view of the chaos characteristics of nonlinear dynamic coupling system during the working state switching process of parallel hybrid electric vehicle （HEV） engine and electric motor, the HEV＇ s state switching coordinated control strategy based on chaotic neural network is proposed. The overall coordinated control model architecture is established, the chaotic neural network working state recognizer is designed, and the accuracy of the recognizer is verified through experiments. On this basis, the vehicle control platform of coordinated control system is constructed, and the simulated test is carried out for the coordinated control strategy. The results show that vehicle dynamic performance, fuel economy and battery SOC balance are effectively improved with this control strategy, the coordinated control of the working state switching is realized.

关 键 词：混合动力汽车 混沌神经网络 状态切换 协调控制 

分 类 号：U467.1[机械工程—车辆工程]