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To improve the efficiency of the additive hybrid power system applied to UAVs, by establishing a hybrid power system powered by hydrogen fuel cells, lithium batteries, and supercapacitors, the DP algorithm is used to find the control sequence that can minimize the cost function under the MPC framework, and the first control variable in the sequence is selected to be applied to the UAV hybrid power system. The study shows that: under the same condition of the initial SOC of Li-ion battery, the fuel consumption of EMS based on DP-MPC is 8.71 g, which is reduced by 21.7%, 38.8%, and 38.9% compared with the classical PID control, ECMS, and state machine control, respectively; the overall fluctuation in fuel cell power is more stable, which effectively improves the working performance of UAV.

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Research on the Energy Management Strategy of a Programmable UAV Based on DP-MPC

  • 会议论文

  • 发表日期：

    2026年

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  • Zitong Liu,
  • Mengda Li

摘要

To improve the efficiency of the additive hybrid power system applied to UAVs, by establishing a hybrid power system powered by hydrogen fuel cells, lithium batteries, and supercapacitors, the DP algorithm is used to find the control sequence that can minimize the cost function under the MPC framework, and the first control variable in the sequence is selected to be applied to the UAV hybrid power system. The study shows that: under the same condition of the initial SOC of Li-ion battery, the fuel consumption of EMS based on DP-MPC is 8.71 g, which is reduced by 21.7%, 38.8%, and 38.9% compared with the classical PID control, ECMS, and state machine control, respectively; the overall fluctuation in fuel cell power is more stable, which effectively improves the working performance of UAV.