DOI: 10.1002/ente.201900201
论文题名: Model-Based Uncertainty Quantification for the Product Properties of Lithium-Ion Batteries
作者: Laue V. ; Schmidt O. ; Dreger H. ; Xie X. ; Röder F. ; Schenkendorf R. ; Kwade A. ; Krewer U.
刊名: Energy Technology
ISSN: 21944288
出版年: 2020
卷: 8, 期: 2 语种: 英语
英文关键词: Li-ion batteries
; modeling
; production process
; uncertainty quantification methods
Scopus关键词: Battery management systems
; Distributed parameter control systems
; Electric discharges
; Electrodes
; Ions
; Manufacture
; Models
; Sensitivity analysis
; Uncertainty analysis
; Electrochemical batteries
; Global sensitivity analysis
; Heterogeneous electrodes
; Nonuniform current distributions
; Point estimate method
; Process uncertainties
; Production process
; Uncertainty quantifications
; Lithium-ion batteries
英文摘要: 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. © 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159726
Appears in Collections: 气候变化与战略
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作者单位: Institute of Energy and Process Systems Engineering, TU Braunschweig, Franz-Liszt-Strasse 35, Braunschweig, D-38106, Germany; Battery LabFactory Braunschweig (BLB), TU Braunschweig, Braunschweig, D-38106, Germany; Institute for Particle Technology, TU Braunschweig, Volkmaroder Strasse 5, Braunschweig, D-38104, Germany
Recommended Citation:
Laue V.,Schmidt O.,Dreger H.,et al. Model-Based Uncertainty Quantification for the Product Properties of Lithium-Ion Batteries[J]. Energy Technology,2020-01-01,8(2)