To reduce the fuel consumption of hybrid vehicles, an equivalent fuel consumption minimum strategy (ECMS) based on equivalent factor adaptive was proposed. The optimal change trajectories of SOC under different standard operating conditions and mileages were solved based on dynamic programming algorithm. A logarithmic function was then used to dynamically compensate and update the equivalence factor, enabling battery SOC to track the theoretical reference trajectory. Then the A-ECMS was constructed. The simulation results show that the proposed A-ECMS strategy reduces fuel consumption by 2.41% compared to the ECMS strategy, and the control effect of A-ECMS is closer to that of the dynamic programming algorithm.