ID der Einreichung:



The increasing demand for electric mobility results in the growing relevance of large-format battery cells. Especially these cells have internally heterogeneously distributed potentials and temperatures, as shown in [1]. Multi scale multi domain (herein after referred as MSMD) models are widely used to calculate the electrochemistry on the microscale and simultaneously map e.g. the temperature distribution in the entire battery cell on the mesoscale. A particular problem is the high geometrical complexity due to the considerable number of electrochemically active layers in such large format cells. There are several models in the literature that use either simplified electrochemical models or reduced model couplings in order to handle the computational effort [1]–[6].

In this work a new homogenization approach for multi scale multi domain modelling is presented. This approach transfers the idea of volume averaging and homogenization of the commonly known Newman model [7] to the layer structure in large format battery cells. Thereby, the layer structure of the cell is taken into account by effective, anisotropic transport parameters without resolving it geometrically. The goal of this modeling approach is therefore an effective, fast computing MSMD model without simplifying the electrochemical model or the model coupling. The resulting model enables the calculation of a complete discharge of a large format cell in five minutes on conventional laptops, taking into account the local temperature and current density distribution. The schematic model structure and the correspondence to the Newman model are shown in the attached Figure 1.

The resulting multi scale multi domain model is parameterized for a battery cell consisting of graphite anode and NCA/LCO-blend cathode and will be applied to four different cooling conditions: no cooling, base plate cooling, tab cooling and side cooling. The full coupling of electrochemistry and temperature allows conclusions to be drawn not only about the occurring temperature profile in the cell, but also about the resulting local potential and current densities. Thus, it will be shown that locally inhomogeneous discharge rates in large format cells originate from the interaction of (i) voltage losses in the current collectors (ii) emerging and decaying SOC inhomogeneities (iii) the slope of the discharge curve and (iv) the temperature profile of the cell. For example, a local peak discharge rate of 2.8 C will be proven for base cooling during a 2C discharge, potentially connected with excessive aging of the cell. Even more important is the outcome, that the local distribution and the magnitude of excessive discharge rates develop counterintuitively, which underlines the necessity for fully coupled MSMD models.

[1] M. Guo, G. H. Kim, and R. E. White, “A three-dimensional multi-physics model for a Li-ion battery,” J. Power Sources, vol. 240, pp. 80–94, 2013.
[2] M. Guo, X. Jin, and R. E. White, “Nonlinear State-Variable Method (NSVM) for Li-Ion Batteries: Finite-Element Method and Control Mode,” J. Electrochem. Soc., vol. 164, no. 11, pp. E3200–E3214, 2017.
[3] G.-H. Kim, K. Smith, K.-J. Lee, S. Santhanagopalan, and A. Pesaran, “Multi-Domain Modeling of Lithium-Ion Batteries Encompassing Multi-Physics in Varied Length Scales,” J. Electrochem. Soc., vol. 158, no. 8, p. A955, 2011.
[4] N. Lin, X. Xie, R. Schenkendorf, and U. Krewer, “Efficient Global Sensitivity Analysis of 3D Multiphysics Model for Li-Ion Batteries,” J. Electrochem. Soc., vol. 165, no. 7, pp. A1169–A1183, 2018.
[5] L. Cai and R. E. White, “Reduction of Model Order Based on Proper Orthogonal Decomposition for Lithium-Ion Battery Simulations,” J. Electrochem. Soc., vol. 156, no. 3, p. A154, 2009.
[6] R. E. Gerver and J. P. Meyers, “Three-Dimensional Modeling of Electrochemical Performance and Heat Generation of Lithium-Ion Batteries in Tabbed Planar Configurations,” J. Electrochem. Soc., vol. 158, no. 7, p. A835, 2011.
[7] J. Newman and W. Tiedemann, “Porous‐electrode theory with battery applications,” AIChE J., vol. 21, no. 1, pp. 25–41, 1975.

Downloads (optional)

Hinweis: Möglicherweise sind nicht alle Download-Felder mit Dokumenten hinterlegt.




is started

We look forward to your contribution
until October 31, 2022