2022-Sustainable Industrial Processing Summit
SIPS2022 Volume 12 Trovalusci Intl. Symp Multiscale & Multiphysics Modelling of Complex Materials

Editors:F. Kongoli, E. Aifantis, R. Das, V.Eremeyev, N. Fantuzzi.
Publisher:Flogen Star OUTREACH
Publication Year:2022
Pages:116 pages
ISBN:978-1-989820-56-8(CD)
ISSN:2291-1227 (Metals and Materials Processing in a Clean Environment Series)
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    An adaptive phase field method for modelling crack propagation in Li-ion batteries

    Sundararajan Natarajan1; Katerina Aifantis2; Bo Wang3;
    1DEPARTMENT OF MECHANICAL ENGINEERING, INDIAN INSTITUTE OF TECHNOLOGY MADRAS, Chennai, India; 2UNIVERSITY OF FLORIDA, Florida, United States; 3UNIV. OF FLORID, Gainesville, United States;
    Type of Paper: Keynote
    Id Paper: 259
    Topic: 64

    Abstract:

    Modelling fracture in batteries has attracted the research community as it accounts for more than 80% capacity loss within the first few cycles of charging/discharging. Cracking leads to loss of contact between particles and no longer participates in the insertion/extraction process and becomes inactive, leading to decreased capacity. Further, there are also local changes in the material properties, which has influence on the macroscopic response of the battery. In this work, we present a novel adaptive phase field formulation to simulate fracture in Li-ion batteries. Within this, a multi-physics framework is adopted where in the influence of the stress induced diffusion and diffusion induced stress on the fracture is numerically studied. A promising aspect of this framework is that complex fracture networks can easily be handled thanks to phase field method and the computational overhead is addressed by a novel adaptive technique based on physics based refinement. The influence of various boundary conditions, size of the particles on the fracture process are systematically studied. The results from the present framework are compared with experimental results where available.

    Keywords:

    Modelling; Cracking; phase field method;

    Cite this article as:

    Natarajan S, Aifantis K, Wang B. (2022). An adaptive phase field method for modelling crack propagation in Li-ion batteries. In F. Kongoli, E. Aifantis, R. Das, V.Eremeyev, N. Fantuzzi. (Eds.), Sustainable Industrial Processing Summit SIPS2022 Volume 12 Trovalusci Intl. Symp Multiscale & Multiphysics Modelling of Complex Materials (pp. 85-86). Montreal, Canada: FLOGEN Star Outreach