Effect of Porosity on the Capacity Fade of a Lithium-Ion Battery

Abstract

A mathematical model is presented to predict the performance of a lithium-ion battery. It includes the changes in the porosity of the material due to the reversible intercalation processes and the irreversible parasitic reaction. The model was also extended to predict the capacity fade in a lithium-ion battery based on the unwanted parasitic reaction that consumes Li ϩ along with the changes in the porosities of the electrodes with cycling due to the continuous parasitic side reaction. The model can be used to predict the drop in the voltage profile, change in the state of charge, and the effects of charge and discharge rates during cycling.

Capacity fade modelling of lithium-ion battery under cyclic loading conditions

“…The distributed model thermal properties are taken from the experimental work of Maleki et al [24]. The porosity change is directly linked to the partial molar concentration following Sikha et al [22]. A graphical illustration of the present model is presented in Figure 1a, and all parameters used are shown in Table 1.…”

“…The electrolyte phase porosity is related to the partial molar concentration and the current density: [22].…”

“…A strong and computationally fast battery life monitoring system also needs an accurate and fast numerical scheme or algorithm for solving the governing equations. Variable porosity also needs to be given due importance above the three factors to accurately calculate the available specific area which directly affects the system of equations [22]. 25 The present study predicts the basic electro chemistry inside the battery using a pseudo two-dimensional (P2D) model.…”

Development of In Situ Cross-Sectional Raman Imaging of LiCoO₂ Cathode for Li-ion Battery

“…In order to satisfy these demands, it is crucial to optimize the structure of the electrode as well as exploring new materials because the kinetics of the electrode reaction depends on the structure of the composite electrode. [2][3][4][5] The main process in the electrode reaction of LIBs is an intercalation/deintercalation of Li + into/from host materials. In case of LiCoO 2 cathode and carbon anode, for instance, the electrode reaction is represented as follows:…”

The Concept of EV’s Intelligent Integrated Station and Its Energy Flow

“…Several factors such as deep depth-of-discharge, high or low temperature, extreme state-of-charge (SOC) levels, etc., are generally acknowledged to accelerate capacity fade [15,16]. Sikha et al [17] proposed a mathematical battery model that can be used to predict the drop in the voltage profile, change in the SOC, and the effects of charge and discharge rates during cycling. The work in [18] presented evaluations and comparisons of different equivalent circuit models to improve the use of lithium-ion batteries in EV applications.…”