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MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction

Julian Feinauer, Simon Hein, Stephan Rave, Sebastian Schmidt, Simon Westhoff, Jochen Zausch, Oleg Iliev, Arnulf Latz, Mario Ohlberger, Volker Schmidt
arXiv e-prints, Number 1704.04139 - 2017
We present a simulation workflow for ecient investigations of the interplay between 3D lithium-ion electrode microstructures and electro-chemical performance, with emphasis on lithium plating. Our approach addresses several challenges. First, the 3D microstructures of porous electrodes are generated by a parametric stochastic model, in order to signfii cantly reduce the necessity of tomographic imaging. Secondly, we integrate a consistent microscopic, 3D spatially-resolved physical model for the electrochemical behaviour of the lithium-ion cells taking lithium plating and stripping into account. This highly non-linear mathematical model is solved numerically on the complex 3D microstructures to compute the transient cell behaviour. Due to the complexity of the model and the considerable size of realistic microstructures even a single charging cycle of the battery requires several hours computing time. This renders large scale parameter studies extremely time consuming. Hence, we develop a mathematical model order reduction scheme. We demonstrate how these aspects are integrated into one uni ed workflow, which is a step towards computer aided engineering for the development of more efficient lithium-ion cells.

Références BibTex

@Article{FHRSWZILOS17,
  author       = {Feinauer, J. and Hein, S. and Rave, S. and Schmidt, S. and Westhoff, S. and Zausch, J. and Iliev, O. and Latz, A. and Ohlberger, M. and Schmidt, V.},
  title        = {MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction},
  journal      = {arXiv e-prints},
  number       = {1704.04139},
  year         = {2017},
  publisher    = {arXiv [math.NA]},
  note         = {https://arxiv.org/abs/1704.04139},
  url          = \{/2017/FHRSWZILOS17},
}

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