Investigation of polymer electrolyte membrane fuel cell internal behaviour during long term operation and its use in prognostics
Lei Mao
Lisa Jackson
Tom Jackson
2134/25755
https://repository.lboro.ac.uk/articles/journal_contribution/Investigation_of_polymer_electrolyte_membrane_fuel_cell_internal_behaviour_during_long_term_operation_and_its_use_in_prognostics/9225419
This paper investigates the polymer electrolyte membrane (PEM) fuel cell internal behaviour variation at
different operating condition, with characterization test data taken at predefined inspection times, and
uses the determined internal behaviour evolution to predict the future PEM fuel cell performance. For
this purpose, a PEM fuel cell behaviour model is used, which can be related to various fuel cell losses. By
matching the model to the collected polarization curves from the PEM fuel cell system, the variation of
fuel cell internal behaviour can be obtained through the determined model parameters. From the results,
the source of PEM fuel cell degradation during its lifetime at different conditions can be better understood.
Moreover, with determined fuel cell internal behaviour, the future fuel cell performance can be
obtained by predicting the future model parameters. By comparing with prognostic results using
adaptive neuro fuzzy inference system (ANFIS), the proposed prognostic analysis can provide better
predictions for PEM fuel cell performance at dynamic condition, and with the understanding of variation
in PEM fuel cell internal behaviour, mitigation strategies can be designed to extend the fuel cell
performance.
2017-07-12 10:24:04
PEM fuel cell
Internal behaviour
Polarization curve
Particle filtering approach
ANFIS
Business and Management not elsewhere classified