首页> 外文期刊>Journal of computational science >MULTIBAT: Unified workflow for fast electrochemical 3D simulations of lithium-ion cells combining virtual stochastic microstructures, electrochemical degradation models and model order reduction
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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

机译:MULTIBAT:统一的工作流程,可结合虚拟随机微观结构,电化学降解模型和模型阶数缩减,对锂离子电池进行快速电化学3D模拟

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摘要

We present a simulation workflow for efficient investigations of the interplay between 3D lithium-ion electrode microstructures and electrochemical 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 significantly reduce the necessity of tomographic imaging. Secondly, we integrate a consistent microscopic, 3D spatially-resolved physical model for the electrochemical behavior 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 behavior. 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 unified workflow, which is a step toward computer aided engineering for the development of more efficient lithium-ion cells. (C) 2018 Elsevier B.V. All rights reserved.
机译:我们提出了一个仿真工作流程,用于有效研究3D锂离子电极微结构与电化学性能之间的相互作用,重点是锂电镀。我们的方法解决了几个挑战。首先,通过参数随机模型生成多孔电极的3D微观结构,以显着降低层析成像的必要性。其次,我们将锂离子电池的电化学行为整合了一致的微观3D空间分辨物理模型,同时考虑了镀锂和剥离。这个高度非线性的数学模型在复杂的3D微结构上进行了数值求解,以计算瞬态单元的行为。由于模型的复杂性和实际微结构的巨大尺寸,即使电池的单个充电周期也需要数小时的计算时间。这使得大规模参数研究非常耗时。因此,我们开发了一种数学模型降阶方案。我们演示了如何将这些方面集成到一个统一的工作流程中,这是朝着计算机辅助工程迈出的一步,以开发更高效的锂离子电池。 (C)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Journal of computational science》 |2019年第2期|172-184|共13页
  • 作者单位

    Ulm Univ, Inst Stochast, Helmholtzstr 18, D-89069 Ulm, Germany;

    German Aerosp Ctr DLR, Inst Engn Thermodynam, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany|Helmholtz Inst Electrochem Energy Storage HIU, Helmholtzstr 11, D-89081 Ulm, Germany;

    Univ Munster, Appl Math, Ctr Nonlinear Sci, Einsteinstr 62, D-48149 Munster, Germany|Univ Munster, Ctr Multiscale Theory & Computat, Einsteinstr 62, D-48149 Munster, Germany;

    Fraunhofer Inst Ind Math ITWM, Kaiserslautern, Germany;

    Ulm Univ, Inst Stochast, Helmholtzstr 18, D-89069 Ulm, Germany;

    Fraunhofer Inst Ind Math ITWM, Kaiserslautern, Germany;

    Fraunhofer Inst Ind Math ITWM, Kaiserslautern, Germany|Bulgarian Acad Sci, Inst Math & Informat, Sofia, Bulgaria;

    German Aerosp Ctr DLR, Inst Engn Thermodynam, Pfaffenwaldring 38-40, D-70569 Stuttgart, Germany|Helmholtz Inst Electrochem Energy Storage HIU, Helmholtzstr 11, D-89081 Ulm, Germany|Ulm Univ, Inst Electrochem, Albert Einstein Allee 47, D-89081 Ulm, Germany;

    Univ Munster, Appl Math, Ctr Nonlinear Sci, Einsteinstr 62, D-48149 Munster, Germany|Univ Munster, Ctr Multiscale Theory & Computat, Einsteinstr 62, D-48149 Munster, Germany;

    Ulm Univ, Inst Stochast, Helmholtzstr 18, D-89069 Ulm, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Stochastic 3D microstructure modeling; Lithium plating; Lithium stripping; Electrochemical simulation; Model order reduction;

    机译:随机3D微观结构建模;镀锂;脱锂;电化学模拟;模型降阶;

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