Control-Oriented Model of an Integrated Fuel Cell Stack and Fuel Processor System

Abstract A control-oriented dynamic model of a catalytic partial oxidation-based fuel processor is developed using physics-based principles. The fuel processor converts a hydrocarbon fuel to a hydrogen rich mixture that is directly feed to the PEM-FC. Cost and performance requirements of the total powertrain typically lead to highly integrated designs and stringent control objectives. Physics based component models are extremely useful in understanding the system level interactions, implications on system performance and in model-based controller design. The model can be used in a multivariable analysis to determine characteristics of the system that might limit performance of a controller or a control design. The model can also be used to assist in measurement selection and to develop a plant observer to predict or estimate critical plant variables and conditions.

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