Abstract
Aviation electrification is an inevitable trend poised to reshape the industry by providing more sustainable, cost-efficient, and environmentally friendly alternatives for air travel. As one of the most promising solutions, multistack fuel cell hybrid propulsion systems, where both fuel cells and battery are involved, are being widely developed in electric aircraft to accelerate this transformation. In such power systems, power management is imperative to ensure efficient and reliable operation. To avoid dependence on the central controller and save computational resources, a distributed aggregated power management strategy is proposed in this article. First, the droop-based inertia emulation is implemented in the battery unit to handle dynamic load power, suppressing the fuel cell power variation. In multistack fuel cells, an aggregated model based on a dynamic consensus algorithm is established to estimate the load power demand, adaptively generating the power reference for each fuel cell. This method ensures that fuel cells operate within their high-efficiency range as much as possible, while the battery only discharges or charges when necessary. Eventually, the lifespan degradation of the studied power system is delayed and the equivalent hydrogen consumption is saved. Finally, the effectiveness of this method is demonstrated by simulation and hardware-in-loop test results based on flight missions.
| Original language | English |
|---|---|
| Pages (from-to) | 15381-15394 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Aerospace and Electronic Systems |
| Volume | 61 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2025 |
Keywords
- Distributed power management
- electric aircraft
- hybrid propulsion systems
- multistack fuel cell
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