% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Schmalstieg:689927,
author = {Schmalstieg, Johannes},
othercontributors = {Sauer, Dirk Uwe and Simon, Ulrich},
title = {{P}hysikalisch-elektrochemische {S}imulation von
{L}ithium-{I}onen-{B}atterien : {I}mplementierung,
{P}arametrierung und {A}nwendung},
volume = {96},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {ISEA},
reportid = {RWTH-2017-04693},
series = {Aachener Beiträge des ISEA},
pages = {viii, 168 Seiten : Illustrationen, Diagramme},
year = {2017},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2017},
abstract = {The increasing use of lithium-ion batteries as well as the
high requirements, e.g. for fast charging of electric car,
require a more detailed understanding of the cell system.
For use under extreme conditions such as high charging
currents, which can lead to strong aging due to lithium
plating, an exact knowledge of the battery's internal state
variables is necessary in order to be able to protect them
with optimized battery diagnostics. The use of
fundamental-based physico-electrochemical simulation models
can help to provide the necessary understanding for these
applications, as well as to reduce the otherwise required
test effort for cell characterization. They allow to look at
the processes taking place internally and thus the
identification of the internal state variables which are
decisive for the operation of the cell. This work starts
with the description of the enhancements and implementation
of a physico-electrochemical battery model, which greatly
increases the flexibility and extensibility to new effects.
Instead of the usual simulation of a cell as a 1D cross
section, the extension to 2D and 3D structures makes it
possible to reproduce inhomogeneities. It allows the free
variation and combination of different material properties.
In addition, double-layer capacitances were implemented in
the electrical model, which allows the simulation of
impedance spectra.In order to simulate a battery, the
material parameters of the components used in the cell are
required. The procedure for parameterizing these material
data is described by means of a prismatic high-performance
cell. This includes investigations of the electrolyte as
well as the active materials, which are examined directly or
electrochemically by use in laboratory cells. In addition,
an analysis of the thermal properties is carried out since
the self-heating of the cell and its effects on the cell
performance cannot be neglected here. The quality of the
determined data set is demonstrated by a validation based on
discharge and charging curves, pulse tests, impedance
spectra and a realistic driving profile, all at different
temperatures. The parameterized model is used to perform
exemplary simulations. In a model-based cell analysis, the
effects of a particle size distribution are considered under
various aspects. The components occurring in impedance
spectra are assigned to the respective processes and
properties. Furthermore, three effects which have occurred
in aging tests are examined and the theories which have been
developed are simulated. Thus, from the implementation of
the model to the acquisition of the necessary material
parameters up to the exemplary application, the
possibilities of physico-electrochemical battery modelling
are presented and their applicability and usefulness are
demonstrated.},
cin = {618310 / 614500},
ddc = {621.3},
cid = {$I:(DE-82)618310_20140620$ / $I:(DE-82)614500_20201203$},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:hbz:82-rwth-2017-046935},
doi = {10.18154/RWTH-2017-04693},
url = {https://publications.rwth-aachen.de/record/689927},
}
guest ::