Model-Based Uncertainty Quantification for the Product Properties of Lithium-Ion Batteries
Vincent Laue
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorOke Schmidt
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorHenning Dreger
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Institute for Particle Technology, TU Braunschweig, Volkmaroder Strasse 5, D-38104 Braunschweig, Germany
Search for more papers by this authorXiangzhong Xie
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Search for more papers by this authorFridolin Röder
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorRené Schenkendorf
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Search for more papers by this authorArno Kwade
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Institute for Particle Technology, TU Braunschweig, Volkmaroder Strasse 5, D-38104 Braunschweig, Germany
Search for more papers by this authorCorresponding Author
Ulrike Krewer
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorVincent Laue
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorOke Schmidt
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorHenning Dreger
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Institute for Particle Technology, TU Braunschweig, Volkmaroder Strasse 5, D-38104 Braunschweig, Germany
Search for more papers by this authorXiangzhong Xie
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Search for more papers by this authorFridolin Röder
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorRené Schenkendorf
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Search for more papers by this authorArno Kwade
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Institute for Particle Technology, TU Braunschweig, Volkmaroder Strasse 5, D-38104 Braunschweig, Germany
Search for more papers by this authorCorresponding Author
Ulrike Krewer
Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, D-38106 Braunschweig, Germany
Battery LabFactory Braunschweig (BLB), TU Braunschweig, D-38106 Braunschweig, Germany
Search for more papers by this authorAbstract
A model-based uncertainty quantification (UQ) approach is applied to the manufacturing process of lithium-ion batteries (LIB). Cell-to-cell deviations and the influence of sub-cell level variations in the material and electrode properties of the cell performance are investigated experimentally and via modeling. The electrochemical battery model of the Doyle–Newman type is extended to cover the effect of sub-cell deviation of product properties of the LIB. The applied model is parameterized and validated using a stacked pouch cell containing Li(Ni1/3Co1/3Mn1/3)O2 (NMC) and graphite (LixC6). It is integrated into a sampling-based UQ framework. A nested point estimate method (PEM) is applied to a large number of independent normal distributed parameters. The simulations follow two consecutive nonideal manufacturing process steps: coating and calendering. The nested PEM provides a global sensitivity analysis that shows a change in sensitivity of the investigated parameters depending on the applied C-rate. Furthermore, the sub-cell level deviation of parameters in heterogeneous electrodes provokes a nonuniform current distribution in the cell. This alters the variance of the discharge capacity distribution. Therefore, sub-cell deviation has to be considered to quantify process uncertainties. The applied method is feasible and highly efficient for this purpose.
Conflict of Interest
The authors declare no conflict of interest.
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