Fault Diagnosis of A PEM Fuel Cell System by SP Model and On-line Expert Systems Techniques

W. Liu and X.G. Wang (Canada)


Fault detection, Fault diagnosis, PEM Fuelcell system, Parameter estimation, Kalman filter, Expertsystems.


This paper deals with the detection and diagnosis of faults when they develop in different parts of a PEM fuel cell system. The diagnosis algorithm is based on a singular pencil model and on-line expert systems. Inputs of the expert systems are the process I/O data, such as pressure and temperature, parameters estimated by Kalman filter, and state values calculated by dynamic equations, and outputs of the expert systems are fault situations in fuel cell system.

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