Before HEALTH-CODE, the diagnosis of fuel cells was performed making use of measures taken with conventional sensors. Traditional diagnostic approaches require massive use of data analysis as well as modelling techniques to compensate for the lack of direct information on the electrochemical process occurring inside the cells. EIS brings more meaningful information than any other conventional measurement, thus enhancing the capability of diagnostic algorithms to detect and isolate faults. HEALTH-CODE introduces innovative solutions enhancing FC competitiveness thanks to the increase of reliability, leading to an impact on lifetime and performance. Therefore, a larger diffusion of FC systems will be gained with a further impact on energy savings and emissions reduction. Moreover, market growth is expected, enhancing the creation of new and innovative industries with new employment opportunities.
The proposed methodology will be exploited by the project partners towards the tested market products (backup & µ-CHP). The industry partners plan to integrate in their systems the EIS board developed during the HEALTH-CODE project. Initially, the new feature could be provided upon client requests and then, after gaining on-field experience, implemented on all FCs products available on companies’ catalog.
Moreover, during the project an exploitation analysis was conducted to evaluate the feasibility of applying the proposed solutions for further uses, such as mobile systems (automotive, buses, trains). Further exploitation will be pursued by academic partners to investigate the use of EIS-based diagnosis for other electrochemical devices, extending the potentiality of the diagnostic tool towards electrolysers (low and high temperature) and batteries. The above exploitations will come with enhanced features of the power electronics, which will benefit from the experience gained while designing, building and testing the DC/DC converters along with new functions.
The outcomes of HEALTH-CODE pave the way towards the implementation of monitoring and diagnostics through impedance measurements on commercial product after customization engineering activities. The availability of impedance measurements acquired while the system runs on field will facilitate the use of such a technique for lifetime, prognostics and advanced control of PEMFC. Additionally, perspective exploitation of advanced monitoring and diagnostics will lead to the improvement of maintenance actions and full integration within new energy paradigms such as smart building/grid as well as a useful implementation of Virtual Power Plant management concept.