混合动力汽车自适应等效油耗最低能量管理策略

为提高插电式混合动力汽车燃油经济性，采用基于动态规划（DP）的控制策略仿真分析了不同典型工况、不同行驶里程下SOC（电池荷电状态）的最优轨迹。在等效油耗最低能量管理策略（ECMS）的基础上，采用比例积分（PI）控制算法实时更新电能-燃油等效因子，以保证SOC实际轨迹能够大致跟随理论参考轨迹，进而提出了一种可实时控制的自适应等效油耗最低能量管理策略（AECMS）。为验证所提控制策略的控制性能有效性，采用不同典型工况及不同行驶里程对ECMS、DP、AECMS的控制性能进行了仿真对比。结果表明，AECMS控制效果接近于DP控制策略且可实时控制，电量消耗（CD）模式下AECMS相对于ECMS减少油耗3.50%~8.71%，电量保持（CS）模式下AECMS相对于ECMS减少油耗1.11%~2.46%。

Adaptive equivalent consumption minimization strategy for plug-in hybrid electric vehicle

In order to improve the fuel economy of plug-in hybrid vehicles (PHEV), the optimal trajectories of state of charge (SOC) under different typical driving cycles and different driving distances were simulated and analyzed by using dynamic programming (DP) algorithm. On the basis of equivalent fuel consumption minimum strategy (ECMS), PI control was used to update the energy fuel equivalent factor in real time, so as to ensure that the actual SOC trajectory could roughly follow the theoretical reference trajectory, and then an adaptive equivalent consumption minimization strategy (AECMS) which can be controlled in real time was proposed. To verify the effectiveness of the proposed control strategy, different typical working conditions and driving mileages were used to simulate and compare the control performances of ECMS, DP and AECMS. The results show that the control effect of AECMS was close to that of DP and could be controlled in real time. AECMS reduced fuel consumption by 3.50%~8.71% in CD mode and 1.11%~2.46% in CS mode compared with ECMS.