功率分流混合动力车辆多目标优化分层控制方法

Multi-objective optimization hierarchic control method for power-split hybrid electric vehicles

混合动力车辆的最优控制是一个多目标优化问题。根据发动机、电动/发电机和蓄电池的工作特征及各部件的功率耦合特性建立了多目标优化模型,将最优控制问题划分为能量管理、动力分配和协调控制3个层次,进而利用分层控制方法将优化结果应用到了实时控制过程。搭建了混合动力系统的动态仿真模型,并利用dSPACE平台进行了在线测试试验。试验结果验证了分层控制方法的实时性和有效性,与基于规则的方法相比,其动力性提高了22.2%,燃油经济性提高了10.6%,供电性能提高了15.5%。

The optimal control of Hybrid Electric Vehicles（HEV）is a problem of multi-objective optimization.An optimization model was built based on the working characteristics of the engine,the Motor/Generator（MG）and the battery pack,and their interactions.The optimal control problem was divided into three levels,the energy management,power distribution,and coordinated control.The optimal results were applied in the real-time control process using the hierarchic control method.The dynamic simulation model was built and the on-line test was carried out on dSPACE platform.The results verify the feasibility and effectiveness of the hierarchic control method.Compared with the rule-based method,the proposed method can improve the drivability by 22.2%,the fuel consumption by 10.6%and the electricity supply performance by 15.5%,respectively.