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In the last section, two different EC models were introduced.
First, a simple model based on an EC of three RC-elements and
second a more complex model based on Zarc and Warburg elements.
The parameters of both ECs were estimated by a fitting
for a large number of measured impedance spectra. It was shown
that the simple EC was not able to reproduce the measured data
even with optimized parameters sufficiently. In opposite, the more
advanced EC was reproducing the spectra very accurate. Since for
Zarc as well as Warburg elements no Laplace transformation exists,
approximations were derived. These gained ECs were implemented
in cell models. Afterwards both models were validated against different
experimental data as cell characterization tests, test cycles
and drive cycle.
All validations showed that both models predict cell voltage very
precisely. Although the simple EC was not able to reproduce the
impedance curves, voltage was predicted with a high quality. Comparisons
of both models evidenced an up to 20% higher mean error
for the simple model by a minimum doubled computation speed.
However, also the mean error for this model is just in the range of
a few mV. Therefore it can be concluded that the impedance fitting
plays a role for the simulation quality, but the influence is just small
and voltage can also be predicted accurately by simple EC models.
To sum up, both EC models allow a very precisely prediction of
battery voltage and battery performance. Thus it is possible to use
these battery models for simulations of e.g. consumption, vehicle
range, cooling requirement and battery lifetime prognosis.
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ÖÁ×ðľ³æ (Ö°Òµ×÷¼Ò)

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In the last section, two different EC models were introduced.
First, a simple model based on an EC of three RC-elements and
second a more complex model based on Zarc and Warburg elements.
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2Â¥2012-05-14 10:53:02
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