基于工况的PHEV模糊自适应控制策略研究

Research on Route-Based Fuzzy Adaptive Control Strategy of PHEV

基于智能交通系统(ITS),提出了基于工况的PHEV模糊自适应控制策略。通过ITS获取未来路径的速度特征进行模糊智能控制,基于工况的模糊自适应控制策略通过合理分配电池电量来提高PHEV的经济性。利用是imulink和Cruise搭建了系统仿真模型,对仿真油耗结果进行了对比分析。结果表明,基于工况的模糊自适应控制策略能够根据行驶工况的特征参数合理分配电池电量,从而提高了PHEV的经济性能。

The Route-based Fuzzy Adaptive Control Strategy （RFACS） of PHEV is presented in this research based on the Intelligent Transportation System （ITS）. We used ITS to get the speed characteristic of the future path for fuzzy intelligent control, the RFACS can improve the economy of PHEV system by the rational distribution and use of battery power. The system simulation model was established by Simulink and Cruise, and the results of simulated fuel consumption were compared and analyzed. The simulation results showed that the RFACS strategy can distribute battery power rationally according to characteristic parameters of driving route, thus improve the economic performance of PHEV.