Plug-in并联式单电机混合动力汽车能量管理优化控制策略

Energy Management Optimization Control Strategy of Plug-in Parallel Single-motor Hybrid Electric Vehicle

为了改善并联式单电机插电式混合动力汽车的能耗经济性,提出门限值与瞬时优化方法相结合的控制策略。建立能耗经济性的目标函数,采用遗传算法优化出电量消耗(CD)模式与电量维持(CS)模式切换的电池荷电状态(SOC)目标值、CS模式下电池SOC的上限值和下限值3个关键门限值参数;采用瞬时优化算法计算出机械无级变速器的最优速比及动态转矩分配值并在MATLAB/Simulink仿真平台下建立模型进行仿真。研究结果表明:在新欧洲行驶循环、城市测功器驾驶进程和高速路燃油经济测试循环工况下,采用控制策略的能耗经济性与采用门限值控制策略得到的结果相比有较大的提高。

To improve the electric vehicle （PHEV） energy consumption economy plug-in parallel single-motor hybrid , a threshold control strategy incorporating with an instantaneous optimization method was proposed. The objective function of energy consumption economy was established, then genetic algorithm was used to optimize the switching target values of the charge depleting （CD） mode and charge sustaining （CS） mode, the upper limit and lower limit of state of charge of battery in CS mode. Instantaneous optimal algorithm was used to calculate the optimal speed ratio of CVT and dynamic torque distribution value. On the MATLAB/Simulink platform, the optimization model was established and simulated. The results indicate that the energy consumption economy of the proposed control strategy has higher improvement compared with the threshold control strategy under New European Driving Cycle, Urban Dynamometer Driving Schedule and Highwav Fuel Economv Test cvcle conditions.