A method for controlling a fuel cell system of a drone at high altitude

By processing environmental and status information of the drone's fuel cell system, precise control of oxygen supply is achieved, solving the problem of delayed oxygen supply in high-altitude environments and ensuring the drone's endurance stability and battery life.

CN122246185APending Publication Date: 2026-06-19JIANGSU FEI RUIDE TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JIANGSU FEI RUIDE TECH CO LTD
Filing Date
2026-04-29
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing drone fuel cell systems cannot effectively cope with the lag in oxygen supply from the air system in high-altitude environments, resulting in the fuel cell stack operating in a hidden oxygen-deficient state. This may cause polarity reversal of individual cells and accelerated oxidation of the carbon carrier, or even trigger a serious accident that causes the entire drone to crash due to a power supply failure.

Method used

By collecting environmental and system information and converting it into dimensionless parameters, the normalized stack current and gas residence time are obtained. The gas supply envelope is corrected using the Reynolds number characterization term. Combined with the pseudo-steady-state oxygen debt window intensity and oxygen debt accumulation, a closed-loop regulation system is constructed to generate flow and pressure target correction quantities. This system controls the micro centrifugal air compressor and electronic throttle valve, thereby achieving precise regulation of oxygen supply.

Benefits of technology

Effectively suppress the blind competition for fuel cell power, ensure the stability of the drone's extreme endurance and long battery life under high altitude and high frequency maneuvering conditions, and avoid hidden oxygen deficiency damage caused by the collapse of air supply capacity and channel delay.

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Abstract

This invention relates to the field of battery control technology and discloses a control method for a high-altitude adaptive fuel cell system for unmanned aerial vehicles (UAVs). The method includes: synchronously collecting environmental parameters over time and mapping them to dimensionless parameters to establish a unified dynamic time base; generating feedforward operating condition reference commands and a realistically achievable gas supply envelope influenced by Reynolds number based on load requirements; monitoring the temporal misalignment between gas path pressure build-up and oxygen molecule supply, quantifying and extracting the pseudo-steady-state oxygen debt window intensity and oxygen debt accumulation induced by the pressure-before-flow phenomenon; synthesizing closed-loop risk errors based on the oxygen debt window intensity and the oxygen debt accumulation, adaptively outputting intake commands for correction and compensation, and distributing them to each actuator using an online identification matrix; finally, dynamically limiting the current rise rate based on the gas supply margin, and updating the mapping parameters in real time using residual self-learning. This invention eliminates the blind spot of pseudo-steady-state misjudgment in oxygen supply under thin air conditions at high altitudes, achieving safe endurance without power outages in all airspace.
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