摘要
提出了基于小脑模型神经网络(CMAC)控制器的能量管理策略,分析了CMAC参数对控制器性能的影响。以ADVISOR2002为仿真平台进行了二次开发,嵌入CMAC控制器,完成了基于CMAC控制器的控制策略、并联电气辅助控制策略和模糊控制策略的仿真比较。仿真结果表明,基于CMAC的控制器具有很好的实时性,可以大幅度改善混合动力汽车的燃油经济性和排放。
This paper presents energy management strategy on the basis of CMAC,and analyzes the influence of CMAC parameters on the performance of controller.By using the ADVISOR2002 as simulation platform,a second development is made,CMAC controller is built,and comparisons between the CMAC based control strategy,parallel electric-assisted control strategy and fuzzy logic control strategy are conducted.Simulation results show that the CMAC based controller has good real time performance,and can be used to greatly improve fuel economy and emission of hybrid vehicle.
出处
《汽车技术》
北大核心
2008年第5期22-26,共5页
Automobile Technology
基金
上海市科委重点资助项目(项目编号:062512030)
