Deformation of lithium-ion batteries under axial loading: Analytical model and Representative Volume Element

Kermani, Golriz; Keshavarzi, Mohammad Mehdi; Sahraei, Elham

doi:10.1016/j.egyr.2021.05.015

Cited by 21 publications

(5 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Reference 8, by conducting confined in‐plane compression tests, it was shown that the stresses in the axial direction are about 10 MPa higher than stresses found from through‐thickness compression tests. This finding was further verified for elliptical and pouch batteries 29,44 . The same approach was utilized for the present study and the axial compression curve was found by shifting up the radial stresses by 10 MPa.…”

Section: Fe Simulations and Resultssupporting

confidence: 77%

Homogenized characterization of cylindrical Li‐ion battery cells using elliptical approximation

Gilaki

Song

Sahraei

2021

Intl J of Energy Research

Self Cite

View full text Add to dashboard Cite

Summary Homogenization and finding the constitutive model of jellyroll in cylindrical lithium‐ion batteries can be challenging because of their form factor. Taking samples out of the original jellyroll wounding or compressing cell assembly in its cylindrical coordinates are two possibilities for measuring the homogenized lateral strength of the cell. However, the former causes loss of accuracy due to changing constraints and electrolyte environment, and the latter requires complex fixtures that are not readily available or even practical to manufacture. Various approaches have been suggested by researchers to circumvent the above difficulties and allow the extraction of hardening curves. However, the precision of those approaches diminishes when the cells are under global compression vs local punch deformations. In this study, an updated homogenization method is established, using a lateral compression test on the jellyroll. The homogenization method is based on the assumption that the circular cross‐section of the jellyroll under compression is deformed in an elliptical shape. Then the principle of virtual work is used to extract the hardening curve. To validate the above characterization model, isotropic and anisotropic finite element models were developed using crushable foam and modified honeycomb material models from the LS‐DYNA library. Four sets of cell‐level experiments were performed on cylindrical batteries using custom‐designed fixtures, including flat lateral compression, rod indentation, hemispherical punch, and three‐point bending. The voltage and surface temperature of the batteries were measured to capture the onset of short circuit during the tests. Comparison of the simulation results confirmed that the proposed homogenization method and the FE models can predict the behavior of cylindrical lithium‐ion batteries with much higher accuracy compared to the currently available methods presented in the literature.

show abstract

Section: Fe Simulations and Resultssupporting

confidence: 77%

Homogenized characterization of cylindrical Li‐ion battery cells using elliptical approximation

Gilaki

Song

Sahraei

2021

Intl J of Energy Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…Frontiers in Energy Research frontiersin.org plane impact loading using the machine learning method. The pouch battery numerical model was based on Kermani et al (Kermani, et al, 2021). The four 2D auxetic honeycomb shapes are designed to be easier to manufacture with conventional manufacturing methods.…”

Section: Figurementioning

confidence: 99%

“…Pouch batteries are employed as the test subject. A homogenized macro model by Kermani et al (Kermani, et al, 2021) serves as the foundation for the numerical model for pouch batteries.…”

Section: Battery Numerical Modelingmentioning

confidence: 99%

“…Battery's von Mises stress was used to measure exactly when the battery in the system model failed. This is done because the load (Sahraei, et al, 2012) (Kermani, et al, 2021).…”

Section: Battery Numerical Modelingmentioning

confidence: 99%

“…This case is classified as in-plane impact loads, where layers of components within the pouch battery buckle under the load. (Kermani, et al, 2021). With the growing interest in lithium-ion batteries as energy storage in the transportation industry, there is an urgent need to find optimal battery protection and safety to reduce fire risk after an accident.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design and optimization of lithium-ion battery protector with auxetic honeycomb for in-plane impact using machine learning method

2023

View full text Add to dashboard Cite

The lithium-ion battery is becoming a very important energy source for vehicles designated as electric vehicles. This relatively new energy source is much more efficient and cleaner than conventional fossil fuel. However, lithium-ion batteries have a high risk of fire during a crash, where the large deformation on the battery during the crash may cause thermal runaway. This research explores that idea by studying the design and optimization of sandwich-based auxetic honeycomb structures to protect the pouch battery cells for the battery pack system of electric vehicles undergoing axial impact load using machine learning methods. The optimization was done using Artificial Neural Network (ANN), and Non-Dominated Sorting Genetic Algorithm Type II (NSGA-II) combined with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Artificial Neural Network predicted the sandwich structure’s specific energy absorption (SEA) and the maximum battery stress during deformation. NSGA-II combined with TOPSIS optimized the design using both of the predictors. Both creations of the training data and validation were done using the non-linear finite element method. The optimized design has a geometric shape of Double-U, a length of 6 mm, a width of 4.2 mm, cross section’s thickness of 0.6 mm, and consists of 1 layer. The optimum design has a specific energy absorption of 47,997.84 J and can maintain the battery’s von Mises stress to a maximum of 43.16 MPa, well below the designated battery’s von Mises stress limit of 67.97 MPa.

show abstract

Abuse Response of Batteries Subjected to Mechanical Impact

Kim

Mallarapu

Santhanagopalan

2023

Modern Aspects of Electrochemistry

View full text Add to dashboard Cite

Deformation of lithium-ion batteries under axial loading: Analytical model and Representative Volume Element

Cited by 21 publications

References 53 publications

Homogenized characterization of cylindrical Li‐ion battery cells using elliptical approximation

Homogenized characterization of cylindrical Li‐ion battery cells using elliptical approximation

Design and optimization of lithium-ion battery protector with auxetic honeycomb for in-plane impact using machine learning method

Abuse Response of Batteries Subjected to Mechanical Impact

Contact Info

Product

Resources

About