Lithium-ion battery models: a comparative study and a model-based powerline communication
In this work, various Lithium-ion (Li-ion) battery models are evaluated according to their accuracy, complexity and physical interpretability. An initial classification into physical, empirical and abstract models is introduced. Also known as <q>white</q>, <q>black</q> and...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | deu |
| Published: |
Copernicus Publications
2017-09-01
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| Series: | Advances in Radio Science |
| Online Access: | https://www.adv-radio-sci.net/15/83/2017/ars-15-83-2017.pdf |
| Summary: | In this work, various Lithium-ion (Li-ion) battery models are evaluated
according to their accuracy, complexity and physical interpretability. An
initial classification into physical, empirical and abstract models is
introduced. Also known as <q>white</q>, <q>black</q> and <q>grey</q> boxes,
respectively, the nature and characteristics of these model types are
compared. Since the Li-ion battery cell is a thermo-electro-chemical system,
the models are either in the thermal or in the electrochemical state-space.
Physical models attempt to capture key features of the physical process
inside the cell. Empirical models describe the system with empirical
parameters offering poor analytical, whereas abstract models provide an
alternative representation.
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In addition, a model selection guideline is proposed based on applications
and design requirements. A complex model with a detailed analytical insight
is of use for battery designers but impractical for real-time applications
and in situ diagnosis. In automotive applications, an abstract model
reproducing the battery behavior in an equivalent but more practical form,
mainly as an equivalent circuit diagram, is recommended for the purpose of
battery management. As a general rule, a trade-off should be reached between
the high fidelity and the computational feasibility. Especially if the model
is embedded in a real-time monitoring unit such as a microprocessor or a
FPGA, the calculation time and memory requirements rise dramatically with a
higher number of parameters.
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Moreover, examples of equivalent circuit models of Lithium-ion batteries are
covered. Equivalent circuit topologies are introduced and compared according
to the previously introduced criteria. An experimental sequence to model a
20 Ah cell is presented and the results are used for the
purposes of powerline communication. |
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| ISSN: | 1684-9965 1684-9973 |