并联式混合动力汽车双模糊控制能量管理策略研究

Research on Double-Fuzzy Control Energy Management Strategy for PHEV

针对单模糊控制策略下再生制动能量不能得到充分回收,提出了一种并联式混合动力汽车的双模糊控制能量管理策略。分别设计了驱动和制动工况下相应的模糊控制器,简化了控制系统设计的复杂度。最后,在Matlab中利用Advisor软件对所设计的双模糊控制策略进行了仿真。结果表明,与电辅助控制策略和单模糊控制策略相比,所设计的双模糊控制能量管理策略,在有效提高燃油经济性和制动工作效率的同时,极大地降低了废气排放。

Because single fuzzy control strategy can not recycle braking energy effectively, a double-fuzzy control energy management strategy （EMS） for parallel hybrid electric vehicle （PHEV） is presented. The fuzzy controller for driving and braking conditions is respectively designed to simplify the complexity of control system. Finally, the designed double-fuzzy control strategy is simulated by the Advisor software environment in Matlab. The results reveal that the proposed control strategy not only has rapidly improved both the fuel economy and the motor efficiency, but also greatly reduced the emissions, compared with the electric assistant control strategy and the single fuzzy control strategy.