Model based water management diagnosis in polymer electrolyte membrane fuel cell
2020 (English)In: International journal of hydrogen energy, ISSN 0360-3199, E-ISSN 1879-3487, Vol. 45, no 31, p. 15618-15629Article in journal (Refereed) Published
Abstract [en]
Water management diagnosis in polymer electrolyte membrane fuel cell is of great importance. The water produced in the fuel cell affects its performance and lifetime through the current distribution and the two phase flow pattern in the channel. The aim of the present study is to modify a segmented model in order to investigate a model-based water management diagnosis at different operating conditions. Simulations are conducted in three current densities: low (0.2 A/cm2), medium (0.6 A/cm2) and high (1 A/cm2), four temperatures ranged from 40 to 70, two stoichiometries (2 and 3) and four inlet humidities (25%, 50%,75% and 100%). The results show that at fully saturation inlet condition, there is a uniform local current density for all three considered current densities. Also, two-phase pressure drop and output voltage have similar trends. Hence two phase pressure drop can be considered as a suitable criterion for water management diagnosis. At inlet humidities less than 50%, non-uniformity of local current density increases that leads to reduction of output voltage, especially at high current density. Generally, for non-saturated inlet condition, two phase pressure drop and output voltage may show different trends. Therefore, two-phase pressure drop can be used only as a criterion for the formation of water and not for water management diagnosis.
Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 45, no 31, p. 15618-15629
Keywords [en]
Polymer electrolyte membrane fuel cell, Water management, Diagnosis, Segmented model
National Category
Fluid Mechanics and Acoustics
Research subject
Fluid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-78778DOI: 10.1016/j.ijhydene.2020.04.031ISI: 000537629500018Scopus ID: 2-s2.0-85084120665OAI: oai:DiVA.org:ltu-78778DiVA, id: diva2:1428237
Note
Validerad;2020;Nivå 2;2020-07-01 (johcin)
2020-05-052020-05-052023-11-10Bibliographically approved