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@ARTICLE{Zou:878073,
author = {Zou, Wei and Froning, Dieter and Shi, Yan and Lehnert,
Werner},
title = {{W}orking {Z}one for a {L}east {S}quares {S}upport {V}ector
{M}achine in the {M}odeling of {P}olymer {E}lectrolyte
{F}uel {C}ell {V}oltage},
journal = {Applied energy},
volume = {283},
issn = {0306-2619},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2020-02615},
pages = {116191 -},
year = {2021},
abstract = {The least squares support vector machine method has been
successfully applied to modeling the transient behavior of
polymer electrolyte fuel cells; this paper analyzes the
credibility and definition of its reliable working zone when
dealing with multiple load changes. The transient model
based on the least squares support vector machine is
initially established. Then, the effects of the fuel cell
system’s setup and exterior load behavior on the transient
model are investigated. Artificial data from
experimentally-validated Simulink simulations are used, by
which extreme working conditions could be taken into
account. We found that the fuel cell system’s setup with
intensive sampling brings about better model performance
than that with a sparse sampling interval, as sharp peaks
are well characterized when intensive sampling is applied
and more information on the fuel cell system is provided to
the transient model. Furthermore, the performance of the
transient model is better when smoother load changes are
imposed on the system, and so a large ramp time and small
ramp value are preferable. A working zone for a least
squares support vector machine to model polymer electrolyte
fuel cell is defined, for which an absolute error is used.
Based on the acceptable level of error in the fuel cell
system, a set of feasible combinations of its setup and
exterior load changes is regulated. Accuracy in the
transient model is achieved when the fuel cell runs within
the working domain.},
cin = {IEK-14},
ddc = {620},
cid = {I:(DE-Juel1)IEK-14-20191129},
pnm = {123 - Chemische Energieträger (POF4-123)},
pid = {G:(DE-HGF)POF4-123},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000613288200008},
doi = {10.1016/j.apenergy.2020.116191},
url = {https://juser.fz-juelich.de/record/878073},
}