固体氧化物燃料电池积炭约束双输入模型预测控制方法
By constructing an 11-state-variable DIR-SOFC model and a dual-input model predictive control method, the constraints of carbon deposition, fuel utilization, and thermal safety in DIR-SOFC are solved by coordinating methane flow rate and steam flow rate, thus achieving efficient catalyst activity protection and system stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN UNIVERSITY
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
Existing model predictive control methods cannot effectively coordinate the three constraints of carbon deposition, fuel utilization and thermal safety in direct internal reforming solid oxide fuel cells (DIR-SOFC), leading to irreversible degradation of catalyst activity. Furthermore, existing methods fail to suppress carbon deposition by actively adjusting the S/C ratio through steam flow.
An 11-state variable DIR-SOFC controlled object model was constructed. A dual-input model predictive control method was adopted. Through coordinated control of methane flow and steam flow, combined with a hierarchical constraint system of carbon deposition rate, fuel utilization rate and thermal gradient, optimization control was performed using a nonlinear predictive trajectory linearization framework.
It effectively suppressed the carbon deposition rate, improved fuel utilization and thermal safety, controlled catalyst activity loss within 1.4%, and the average single-step calculation time was 133ms, meeting real-time constraints. The number of carbon safety violations was reduced from 11 to 0, improving the long-term reliability of the system.
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Figure CN122091650B_ABST