基于动态规划的插电式混合动力汽车全局最优控制策略研究

Research on Global Optimal Control Strategy of PHEV Based on Dynamic Programming

针对某款插电式混合动力汽车,基于动态规划(DP)算法建立了汽车全局最优控制策略。通过将每一时刻SOC初始取值范围均选定为0.6~0.8,对DP程序通用性和计算效率进行了改进。选择能够代表各种道路类型的11种标准工况以及UDDS工况进行仿真验证,结果表明,所编写DP程序通用性良好,汽车在全局最优控制策略下燃油经济性相对于传统电机助力控制策略有明显的提升。

Based on the Dynamic Programming（DP） algorithm, a global optimal control strategy was constructed for a plug-in hybrid vehicle. By selecting the initial value range of SOC at each moment at 0.6～0.8, the universality and computational efficiency of the DP algorithm were improved. 11 standard working conditions that represented various road types and UDDS working conditions were selected for simulation verification. The results show that the DP program has good versatility, and fuel economy of the vehicle under the global optimal control strategy is obviously improved compared with the traditional motor assisted control strategy.