Abstract: Aiming at the problem of optimal control of fuel economy of plug-in hybrid electric vehicles (PHEV), the article proposes a global optimal control strategy based on dynamic programming algorithm to maximize its fuel saving potential. First, a mathematical model of the P2 configuration plug-in hybrid vehicle is established. Then, the optimal control mathematical model is established with the state of charge (SOC) of the battery as the state variable and the motor torque as the control variable. And the optimal control is solved by dynamic programming method with the minimization of engine fuel consumption as the objective function. The simulation results show that compared with the power consumption-holding strategy, the dynamic planning-based control strategy can reasonably allocate the engine and motor torque, and the engine fuel consumption is reduced by 24.91% compared with the power consumption-holding strategy, and the proposed strategy can significantly improve the vehicle fuel economy.

Key words: PHEV; SOC; Dynamic programming; Energy management

摘要： 针对插电式混合动力汽车（PHEV）燃油经济性最优控制问题，文章提出了基于动态规 划算法的全局优化控制策略，最大程度地挖掘其节油潜能。首先，建立了 P2 构型插电式混合 动力汽车的数学模型。然后，以电池荷电状态（SOC）为状态变量，电机转矩为控制变量建 立了最优控制数学模型，并以发动机油耗最小为目标函数，采用动态规划方法求解最优控制。 仿真结果表明，与电量消耗-保持策略相比，基于动态规划的控制策略能够合理分配发动机和 电机转矩，发动机油耗较电量消耗-保持策略降低了 24.91%，所提出的策略能够显著提高车辆 燃油经济性。

关键词: PHEV；SOC；动态规划；能量管理