This paper proposes a model-based approach for the fuel cell flooding diagnostics problem. The cathode channel flooding and the GDL flooding diagnostic problems are decoupled and formulated as standard joint state and parameter estimation problems, with the amounts of the liquid water treated as varying system parameters to be identified. The unscented Kalman Filter technique has been applied to solve these problems. Simulation results prove the applicability of the cascading unscented Kalman filter design for flooding diagnostics.
- Dynamic Systems and Control Division
PEM Fuel Cell Flooding Diagnostics Based on an Unscented Kalman Filter Approach
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Zhang, X, & Pisu, P. "PEM Fuel Cell Flooding Diagnostics Based on an Unscented Kalman Filter Approach." Proceedings of the ASME 2014 Dynamic Systems and Control Conference. Volume 1: Active Control of Aerospace Structure; Motion Control; Aerospace Control; Assistive Robotic Systems; Bio-Inspired Systems; Biomedical/Bioengineering Applications; Building Energy Systems; Condition Based Monitoring; Control Design for Drilling Automation; Control of Ground Vehicles, Manipulators, Mechatronic Systems; Controls for Manufacturing; Distributed Control; Dynamic Modeling for Vehicle Systems; Dynamics and Control of Mobile and Locomotion Robots; Electrochemical Energy Systems. San Antonio, Texas, USA. October 22–24, 2014. V001T19A001. ASME. https://doi.org/10.1115/DSCC2014-6158
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