智能网联环境下的 PHEV 实时优化能量管理策略研究

A real-time optimization energy management strategy for plug-in hybrid electric vehicles (PHEVs) was proposed to further explore the fuel-saving potential of PHEVs based on the historical operation data of commuter vehicles provided by the intelligent networking environment. This strategy consists of offline part and online part. The data such as the historical operating speed of commuter vehicles was analyzed and processed in the offline part, obtaining a cycle operating curve that can reflect the characteristics of the commuter route, and then the Pontryagin's minimum principle (PMP) algorithm was used to construct the optimal control problem of the PHEVs in fuel economy, in which the solution of the co-state was realized by the shooting method, so as to obtain the global optimal solution of PHEVs in fuel economy under this typical driving cycle. The online part combines the optimization results of the co-state variables under the offline typical driving cycle to correct the co-state variables in real time according to the actual operating conditions of the PHEVs; and the online application of the optimal control law was realized. The results show that the strategy is suitable for different operating conditions, and can realize the efficient integration of the global optimal solution and the instantaneous optimal solution in fuel economy of PHEVs; Compared with the equivalent consumption minimum strategy (ECMS) under random driving cycles, and the fuel economy has increased by 18.64%, the working area of the engine has been significantly improved. Therefore this strategy provides a new idea for solving the real-time optimization problem of PHEVs energy management.