
Impact Modeling and Testing of Pouch and Prismatic Cells
Author(s) -
Jie Deng,
Ian W. M. Smith,
Chulheung Bae,
Phil Rairigh,
Ted Miller,
Bapiraju Surampudi,
P. L’Eplattenier,
Iñaki Çaldichoury
Publication year - 2020
Publication title -
journal of the electrochemical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.258
H-Index - 271
eISSN - 1945-7111
pISSN - 0013-4651
DOI - 10.1149/1945-7111/ab9962
Subject(s) - computational model , battery (electricity) , materials science , homogeneous , computer science , deformation (meteorology) , process (computing) , mechanical engineering , structural engineering , simulation , composite material , engineering , physics , power (physics) , quantum mechanics , thermodynamics , operating system
Understanding battery response under impact is critical to improve the safety of electrified vehicles. Nevertheless, predicting the impact behaviors of batteries is not straightforward since a battery cell usually contains hundreds of thin layers with dramatically different material properties and multiple physical processes occur simultaneously during cell deformation. Here we utilized both empirical tests and numerical models to capture the failure process of pouch and prismatic cells in various impact scenarios. In each test, a cell was hit once by an indenter dropped from a certain height. During which the cell penetration, loading force, voltage and temperature were monitored to characterize the cell’s response. Meanwhile, numerical models were developed to capture the coupled mechanical, electrical, electrochemical and thermal responses of batteries. In these models, the cell bulk was treated as a homogeneous part to achieve computational efficiency required by large-scale simulations, and it was represented by the geologic cap model that allows both shear and compaction deformation. Simulation results showed agreement with experimental data in essential features of cell behaviors during impact. Details of the test setup, model development and cell failure behaviors are presented in this paper. Additionally, capabilities, limitations and future improvement of the battery safety modeling are discussed.