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@ARTICLE{Zou:890001,
author = {Zou, Wei and Froning, Dieter and Shi, Yan and Lehnert,
Werner},
title = {{A} least-squares support vector machine method for
modeling transient voltage in polymer electrolyte fuel
cells},
journal = {Applied energy},
volume = {271},
issn = {0306-2619},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2021-00595},
pages = {115092 -},
year = {2020},
abstract = {An investigation into the credibility and suitability of a
transient voltage model that characterizes the dynamic
behavior of polymer electrolyte fuel cells was carried out
by means of quantitative and qualitative validations. The
least squares support vector machine method was then used to
construct a transient voltage model of a fuel cell in the
first phase, including a validation based on experimental
data obtained from a test rig. In the second phase, a
thorough discussion of the effect of the fuel cell’s
operating conditions and the exterior load changes on the
model’s performance was implemented. For this phase, the
influences of the sampling interval and ramp ratio are
discussed and determined following a large number of tests
under a variety of operating conditions. The results show
that sampling with short time intervals is an effective way
to improve the model’s performance, and a smoother change
to the exterior load is more likely to be approximated by
the least squares support vector machine model. Moreover,
the voltage model is sensitive to the ramp value by
comparison to the ramp time. Suggestions for future
applications of the transient voltage models are also
provided. For a given combination of load changes, the
sampling interval should be managed within a range to reach
the demand data that satisfies the voltage accuracy. On the
other hand, for a determinate sampling interval, the dynamic
change of the load should be restricted within a limit to
ensure that the model error is lower than the demand value.},
cin = {IEK-14},
ddc = {620},
cid = {I:(DE-Juel1)IEK-14-20191129},
pnm = {135 - Fuel Cells (POF3-135)},
pid = {G:(DE-HGF)POF3-135},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000540436500005},
doi = {10.1016/j.apenergy.2020.115092},
url = {https://juser.fz-juelich.de/record/890001},
}