Large-payload fuel cell hybrid-powered eVTOLs (electric Vertical Take-Off and Landing aircraft) had the advantage of non-pollution and long endurance. It is the ideal aircraft for maritime aviation missions and littoral search-and-rescue missions. Specific to the characteristics of high power requirement and frequent power changes for the search and rescue mission, as well as the poor adaptability and suboptimal performance under the complex environment of traditional hybrid power energy management algorithms, this paper presents a TD3 (Twin Delayed Deep Deterministic Policy Gradient)-based intelligent energy management strategy. Consider minimising hydrogen consumption as the optimisation objective, set up a mathematical model, and develop a power battery equivalent internal resistance model for fuel cell stacks’ hydrogen consumption. The simulation result demonstrates that under a typical littoral search-and-rescue mission, a TD3-based intelligent energy management strategy allows fuel cell stacks to remain in a high-efficiency working condition. The total hydrogen consumption of TD3 was 3.2% less than RB (Rule-based) strategy and 10.6% less than DDPG (Deep Deterministic Policy Gradient) strategy. It can meet the high power requirements of eVTOLs during different flight conditions and has certain application prospects.