Fuel cells are a promising alternative to classical fossil energy based engines used in transport applications and electro-generators. However, there still exist limitations preventing it to be used at an industrial scale. In particular, the real-time determination of the cell’s state of health, allowing one to establish a diagnosis or a prognosis of the malfunctions and failures In this document, two different approaches are tested in order to propose real-diagnostic tools for industrial scale stacks. First, a simple electrochemical impedance spectroscopy model is developed in order to create a fast and easily embeddable diagnostic tool. Finally, two techniques based on ultrasound propagation (acoustic emission and acousto-ultrasound).are tested and evaluated in optimal and degraded conditions.
