用模糊控制实现混合动力电动汽车动力优化  

Optimization of Hybrid Electric Vehicle Power System Using Fuzzy Logic Control

作　　者：周春国[1] 刘宏昭[1] 李欣[1] 崔亚辉[1] 

机构地区：[1]西安理工大学机械与精密仪器工程学院,陕西西安710048

出　　处：《应用科学学报》2007年第5期500-504,共5页Journal of Applied Sciences

基　　金：陕西省自然科学基金资助项目(2003E229)

摘　　要：以混合动力电动汽车的燃油经济性和最低排放为控制目标,研究该类汽车动力系统的多目标优化方法,提出用模糊控制策略实现不同的控制目标.该文建立了模糊逻辑控制系统结构图和模糊逻辑推理规则,着重论述在混合动力汽车中建立模糊控制器的方法和过程,用仿真软件对普通电辅助控制和模糊控制两种情况下的工况进行模拟,得到SOC变化曲线.控制效果的对比表明,模糊控制策略适合于混合动力电动汽车控制.We study multi-target optimization of the power system of hybrid electric vehicles aimed at fuel saving and emission minimization. A fuzzy logic control strategy is used to realize different control targets. The structure chart and inference rule of the fuzzy logic control system is established, with emphasis on the discussion of the fuzzy control method and process. Two operation modes are simulated with the software, under ordinary electric control and fuzzy logic control, respectively. Curves of SOC change are obtained. Comparison between the control effects indicates that the fuzzy logic control strategy is suitable for the control of hybrid electric vehicles.

关 键 词：电动汽车 优化 模糊控制 

分 类 号：TH122[机械工程—机械设计及理论]