基于稳定性优化的油电混动飞机能量管理方法

doi:10.7527/S1000-6893.2025.31937

Abstract

Abstract:

The hybrid electric propulsion system for hybrid electric aircraft combines the advantages of both fuel and electric power by unifying secondary energy into electrical energy. This system offers low noise and low infrared signature stealth performance， making it suitable for aircraft with high stealth requirements， such as early warning aircraft. However， the complex operating conditions and impulsive loads present challenges to the stability of the power system and energy management. To address this， this study constructs a series hybrid electric power system configured with dual generators and a solid-state lithium battery for the Defender small twin-engine early warning aircraft. A stability optimization method based on the virtual impedance approach is proposed， where a system stability model is established through small-signal modelling and impedance analysis. Particle Swarm Optimization （PSO） is employed to optimize the virtual impedance values and enhance system stability. Furthermore， a Model Predictive Control （MPC）-based energy management strategy is designed， aiming at optimizing both system stability and optimal fuel efficiency. By comparing the proposed MPC-based energy management strategy with state machine and genetic algorithm-based strategies， the MPC approach achieves a 6.33% reduction in fuel consumption and a ninefold increase in computational speed. Moreover， this approach enhances stability margins across all flight phases， including take off， climb， and cruise， thereby improving overall system stability and control performance. The feasibility of the virtual impedance algorithm is validated on the PLECS-RT BOX platform.

Key words: hybrid electric system, early warning aircraft, energy management strategy, stability optimization, model predictive control

CLC Number:

V231.3

Yu WU, Linke HE, Ruizhen LI, Zirui LIU, Zixiao XU, Weilin LI. Energy management strategy of hybrid aircraft based on stability[J]. Acta Aeronautica et Astronautica Sinica, 2025, 46(22): 331937.

Figures/Tables 27

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能量管理策略	耗油量/kg	运行时间/s
FSM	3.095 6
GA	2.917 0	9.741
MPC	2.899 7	1.132

Energy management strategy of hybrid aircraft based on stability

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