Abstract
In this paper we present a method for dynamic acquisition and analysis of a 3-D polarization surface of a fuel cell stack that requires no service procedure or special handling and can be facilitated in situ during regular daily operation. This method is based on statistical processing of information acquired during regular driving. By continuously mapping fuel cell operating parameters against their statistically computed limits, the monitoring device can set an alert if the performance of the fuel cell falls out of normal operating confidence intervals. The method is presently implemented as stand alone device. In the future development, with this method refined and its demonstrated reliability, the functionality can be transferred to an automotive electronic control unit (ECU).
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