Aiming at the high energy efficiency management problem of hydrogen fuel cell powered UAVs, this study combines the Deep Deterministic Policy Gradient (DDPG) algorithm with hybrid energy system management to enhance the overall efficiency of the energy system. The goal is to achieve economic hydrogen consumption and ensure the safe and efficient operation of both the hydrogen fuel cell and the lithium battery. A power distribution strategy based on DDPG is designed to optimize energy management. To verify the feasibility and effectiveness of the proposed energy management algorithm, simulations were conducted using a specific UAV flight power profile, and the results were compared with those of a state machine-based energy management strategy. The simulation results demonstrate that the proposed DDPG-based energy management strategy not only meets the power demands of flight missions but also significantly enhances the conversion efficiency of hydrogen fuel cell, effectively maintaining its health and increasing the safety and reliability of UAV flights missions.