增程式电动汽车规则型能量管理策略对比

Comparison on rule-based energy management strategy for E-REV

针对增程器小型化后的串联式增程式电动汽车能量管理策略问题,从发动机参数匹配角度对增程器小型化的方法进行了研究,采用逐步优化的方法提出了4种规则型能量管理策略.基于搭建的整车动力系统仿真平台,分别从发动机工作点分布、增程器效率以及动力电池充放电能量损失等方面对比分析了各控制策略燃油经济性存在差异的原因.离线及硬件在环仿真试验结果表明:增程器平均效率和动力电池充放电能量损失是影响车辆燃油经济性的主要因素;配置了小型化增程器的电动汽车,不适合照搬发动机开/关和功率跟随控制策略,采用最优曲线控制策略可获得较好的燃油经济性和控制效果.

For serial extended-range electric vehicle(E-REV),the range extender miniaturization method was investigated according to the engine parameter matching.Four management strategies were proposed based on different rules by progressive optimization.An entire vehicle simulation platform was set up by Cruise/Simulink.Based on the platform,the explanations for fuel economy difference of strategies were analyzed according to engine operating point distribution,range extender efficiency and charge-discharge energy loss of battery.The off-line and HIL simulation results indicate that the main influence factors of fuel economy are range extender efficiency and charge-discharge energy loss of battery.The extended-range electric vehicle with miniature range extender cannot completely fit the common engine on-off and power following control strategy.The optimal curve control strategy has good fuel economy and control effect.