An Energy Management Strategy for Aviation Fuel Cell Hybrid Power System based on Optimized Parasitism-Predation Algorithm

Compared to single fuel cell powertrain, the multi-source hybrid system addresses the slow dynamic response and inability to recover and recycle braking energy capability inherent to fuel cell system. In aviation, hybrid systems enhance energy management efficiency and enable rapid power response to dynamic demands through the synergistic integration of multiple power sources. Concurrently, the energy management strategy coordinates the operational states of all sources in real time and optimally allocates power loads, thereby enhancing system operational stability and extending service life. Integrating Equivalent Consumption Minimization (ECM) principle, an Optimized Parasitism-Predation Algorithm (OPPA) is proposed. Compared with the traditional PPA, the optimized algorithm features two key enhancements. First, it integrates gradient information analysis and adopts a probabilistic acceptance mechanism for suboptimal solutions, thereby significantly expediting the local search process. Second, certain fixed parameters within the algorithm are adaptively adjusted over time, enabling the algorithm to effectively achieve the exploration-exploitation trade off. Simulation results demonstrate that the proposed strategy effectively balances multiple performance metrics within the model. When benchmarked against the State Machine Strategy and the Equivalent Consumption Minimization Strategy (ECMS), it outperforms in enhancing system efficiency and stability while concurrently reducing system costs.