Extending a Homogenized Model for Characterizing Multidirectional Jellyroll Failure in Prismatic Lithium-Ion Batteries

Lithium-ion batteries have been widely used in electric vehicles but may cause severe internal short circuit during extreme intrusion-type accidents. A well-defined homogenized model of battery or jellyroll is necessary for safety assessment and design on large-scale structure level. In our previous...

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Bibliographic Details
Published inEnergies (Basel) Vol. 14; no. 12; p. 3444
Main Authors Zhu, Lingxiao, Xia, Yong, Liu, Yuanjie, Ge, Yulong, Wang, Lin, Zhang, Lei
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2021
Subjects
anisotropic mechanical behavior
Anisotropy
Batteries
Constitutive models
Criteria
Design
Electric vehicles
failure criterion
Fault tolerance
FE simulation
jellyroll
Lithium
Lithium-ion batteries
Mathematical models
Mechanical properties
Parameters
prismatic lithium-ion battery
Safety engineering
Shear stress
Short circuits
Yield stress
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Summary:Lithium-ion batteries have been widely used in electric vehicles but may cause severe internal short circuit during extreme intrusion-type accidents. A well-defined homogenized model of battery or jellyroll is necessary for safety assessment and design on large-scale structure level. In our previous study, the jellyroll of prismatic lithium-ion battery cell shows anisotropic mechanical behavior and failure tolerance. For homogenized characterization of jellyroll, in the present paper, the user subroutine of a constitutive model taking anisotropy into account is implanted into Abaqus finite element analysis software, which is capable of capturing the force versus displacement responses along different loading directions before jellyroll failure. To extend the capability of the homogenized model, five single-parameter failure criteria and two combined failure criteria are examined in predicting the failure onsets in jellyroll along different directions. The result proves the combined failure criteria is competent to correctly predict the multidirectional failure onsets compared with the single-parameter ones.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14123444