Fuel cell hybrid propulsion system and its power fluctuation-consumption co-optimization method

By constructing an intelligent agent for a fuel cell hybrid propulsion system and utilizing a near-end strategy optimization algorithm to allocate battery power in real time, the problem of coordinating power fluctuations and energy consumption during land-to-air transitions in hybrid propulsion systems was solved, achieving efficient and smooth system operation and extended battery life.

CN121697510BActive Publication Date: 2026-06-30NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
4 Cites 0 Cited by

Patent Information

Application Number
CN202610171472.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-02-06
Publication Date
2026-06-30
Estimated Expiration
2046-02-06

AI Technical Summary

Technical Problem

During the dynamic transition from land to air in existing hybrid propulsion systems, traditional energy management methods struggle to coordinate and optimize battery power fluctuations and overall system energy consumption, leading to power surges and energy waste.

Method used

A fuel cell hybrid propulsion system is adopted, which combines a fuel cell power generation unit, a lithium-ion battery unit, an electric drive unit, a sensing and data acquisition unit, and an energy management controller. An intelligent agent is constructed through a near-end strategy optimization algorithm to allocate battery power in real time to optimize power fluctuations and energy consumption.

Benefits of technology

It achieves efficient and smooth operation of fuel cell hybrid propulsion system in dynamic environment, reduces component fatigue wear, extends battery life and improves energy conversion efficiency.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

This invention discloses a fuel cell hybrid propulsion system and its power fluctuation-consumption synergistic optimization method. The system includes a fuel cell power generation unit, a lithium-ion battery unit, an electric drive unit, a sensing and data acquisition unit, and an energy management controller. Based on near-end strategy optimization, an intelligent agent is constructed with system state and operating condition information as input and power source power allocation commands as output. A reward function integrating total energy consumption penalty and power fluctuation penalty is designed to drive the intelligent agent to learn the optimal energy management strategy in a continuous action space. This invention can suppress frequent and drastic fluctuations in lithium-ion battery power, extend battery life, ensure system safety, and minimize overall hydrogen fuel consumption while meeting dynamic power demand and safety constraints. It achieves synergistic optimization of long-term operational economy and system output stability, enabling efficient, smooth, and long-life operation of the hybrid propulsion system in dynamic environments.
Need to check novelty before this filing date? Find Prior Art