Students are the heart and soul of GIST
Abstract: The reliability and lifetime of Li-ion cells can be
improved by understanding their operational wear. In this work, an experimental
characterization of Li-ion cells is carried out, and novel phenomenological
models are developed to elucidate the dynamic electrochemical-thermal mechanics
of Li-ion cells. Two sources of swelling and reaction force, namely Li-ion
intercalation and temperature variations, are identified through experiments. The
swelling and force from temperature variation and the state of charge (SOC) shows
nonlinear characteristics. To account for these behaviors, the model must
include a coefficient of thermal expansion and stiffness at the cell-level,
which depend on temperature and the SOC.
Based on the experimental characterization, a 1-D phenomenological multi-physics
model is proposed to predict the complex dynamic behavior of Li-ion cells. The
model consists of an electro-thermal model, a swelling model, and a force
model. The electro-thermal model estimates the SOC and the surface/core
temperature with current and ambient temperature profiles. The swelling model
predicts the volume change of a cell due to Li-ion intercalation and
temperature variation as a function of the SOC and surface/core/ambient
temperature. The force model incorporates nonlinear elastic stiffness and
separates the overall SOC region into three regions to account for Li-ion
intercalation and phase transitions. The force model estimates the reaction
force caused by the battery swelling and the preload as a function of the
estimated SOC and total swelling. Experimental validation demonstrates that the
proposed multi-physics model accurately predicts complex physics behind cells
at the wide range of preload and ambient temperature.
A 3-D numerical and phenomenological cell model is developed also to predict strain and stress distribution on the surface of cells. To model the inherently different microphysical swelling processes from Li-ion intercalation and thermal expansion, the model incorporates the nonlinear equivalent modulus of elasticity and the equivalent coefficient of thermal expansion, which are functions of the SOC. Comparison between experiments and model predictions clearly demonstrates that this 3-D model accurately reproduce the swelling shape, suggesting that the model can be useful for cell design, developing new strain/pressure sensors, and optimizing sensor locations.