Variable-Weight Optimization for More-Electric Aircraft Energy Management

This paper proposes a variable weight coefficient-based dynamic programming energy management strategy for a hybrid-powered aircraft system integrating hydrogen fuel cells, lithium batteries, and supercapacitors. The strategy aims to synergistically optimize hydrogen consumption, fuel cell efficiency, and lithium battery lifespan under varying load and state-of-charge (SOC) conditions. By adaptively adjusting the weight coefficients of multiple objectives according to real-time flight power demand and battery SOC, the method achieves a dynamic balance among economic performance, and sustainability. Simulation results demonstrate the superiority of the proposed approach over the fixed-weight strategy. Specifically, it improves average fuel cell efficiency by 1.22%, reduces hydrogen consumption by 0.24%, and decreases lithium battery capacity degradation by 6.31%. These improvements collectively enhance the overall performance and operational economy of the aircraft. The study provides an effective solution for multi-objective cooperative management of complex aviation hybrid energy systems.