针对等效燃油消耗最小策略(ECMS)中最优等效因子对工况依赖性较大的问题， 以单轴并联式混合动力汽车为研究对象，以动态规划算法(DP)获得的特定行驶工况下最 优控制结果为基础，逆推得到 ECMS 的最优等效因子;拟合出平均最优等效因子随电量维 持水平的变化规律，以此为基础设计了一种自适应等效燃油消耗最小策略． 在中国典型城 市工况下的仿真结果表明:对于任意初始 SOC 值，文中策略能够较好地维持电量平衡;在 SOC 稳定之后的油耗为 828 g，与 DP 对比仅有 0． 8% 的误差． 多种不同工况仿真结果表 明，SOC 变化规律与中国典型城市工况仿真结果一致，在 SOC 稳定之后，单个循环工况的 油耗相对 DP 仅增加了 0． 1% ～0． 2%．

Aiming at the problem that the optimum equivalent factor relies heavily on the driving cycle in the equiva- lent consumption minimization strategy (ECMS),by taking a single-axis parallel hybrid electric vehicle as the re- search object and based on the optimal control results obtained through the dynamic programming (DP) in a special driving cycle,an instantaneous optimal equivalent factor in the framework of the ECMS is obtained in a reverse way.Then,the change rules of the average optimal equivalent factor with the charge-sustaining level are fitted.On this basis,an adaptive equivalent consumption minimization strategy is designed.The simulation results of a typical urban driving cycle in China show that,for an arbitrary initial SOC,the designed strategy can stabilize the battery capacity in a fixed value,and that the fuel consumption is 828g after stabilizing the SOC,which indicates an error of only 0. 8% in comparison with that obtained through the DP.The simulation results of other kinds of driving cy- cles show that the change rules of the SOC in the other cycles accord well with those in the typical urban driving cy- cle,and after stabilizing the SOC,the fuel consumption increases only by 0. 1% ～0. 2% in comparison with that obtained through the DP in a single cycle.