A robust data treatment approach for fuel cells system analysis

This paper describes the implementation of a practical approach for fuel cells system data analysis. A number of data treatment techniques such as data management and treatment, data synchronization, and data reconciliation are introduced and discussed in order to solve the issues raised in the practical case. These techniques are integrated in a software environment which provides user a fast, efficient, and rational electrochemical investigation. The performance of the approach is illustrated using an industrial fuel cell stack test system.

► We developed a software interface for Solid Oxide Fuel Cell (SOFC) data processing and electrochemical investigation. ► We provided a customized data pretreatment to make the best estimate of data. ► We present novel application of dynamic time warping to SOFC data synchronization. ► We present novel application of data reconciliation technology to SOFC data adjustment.