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| Title: | Remaining useful life prediction of solid oxide fuel cells using moving horizon estimation | | | Authors: | A. Caspani, R.R. Negenborn, V. Reppa |
| | Conference: | 6th International Conference on Control and Fault-Tolerant Systems (SysTol) (SysTol 2025) | | Address: | Ayia Napa, Cyprus | | Date: | October 2025 |
| | Abstract: | Solid Oxide Fuel Cells are considered promising in the field of electric power generation, especially when dealing with large-scale applications. In this context, as the marine industry is targeting a full de-carbonization by year 2050, increasing attention is being directed toward the implementation of this technology in the maritime sector. Solid Oxide Fuel Cells are complex systems where thermodynamics and electrochemical reactions are coupled, resulting in highly nonlinear dynamics, tight operational constraints, and the need for multiple distributed sensors. Those operational quantities that cannot be directly measured, need to be estimated. Among these, the so called Area Specific Resistance is an indicator of cell's health condition, being related to the cell degradation. This paper proposes a Moving Horizon Estimator based on an extended state-space model of a methane-fueled Solid Oxide Fuel Cell, combined with a moving window of sensor measurements, to estimate in real time the Area Specific Resistance of the cell. Using the estimated value, along with its maximum and average degradation rates, a predictive framework is developed to estimate the Remaining Useful Life of the cell. Simulation results are used to illustrate the application and efficiency of the proposed method. |
| | Reference: | Remaining useful life prediction of solid oxide fuel cells using moving horizon estimation. A. Caspani, R.R. Negenborn, V. Reppa. Accepted for the 6th International Conference on Control and Fault-Tolerant Systems (SysTol) (SysTol 2025), Ayia Napa, Cyprus, October 2025. | | | Request: | A
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