Side Reaction Correction and Non-Linear Exchange Current Density for Mathematical Modeling of Silicon Anode Based Lithium Ion Batteries
Abstract
Lithium-Ion Batteries (LIBs) are considered promising energy storage systems for electronic devices and vehicles. It has been suggested that the performance of the LIBs can be improved if the graphite in anode could be replaced with silicon because of its high capacity. However, silicon experiences a large volume change during battery cycling, which can cause cracks at the surface of the electrodes, failure at the separator-electrodes interface and large volumetric changes to the cell. To optimize the Si-anode-battery design, a simple model that can capture the hysteresis behavior in silicon is required. Hysteresis phenomena affect the performance of the battery. Our work mainly focuses on developing a physics-based electrochemical model that includes mechanical stress impact on voltage. The model can be used to investigate the impact of hydrostatic stress on the output voltage of silicon anode based Lithium-Ion batteries. In addition, both experimental and Verburgge & Cheng's analytical approach is applied to identify the importance of stress in the voltage hysteresis of silicon-anode batteries in lithiation-delithiation cycles. To investigate the influence of hydrostatic stresses on electrochemical reactions in battery electrodes, a modified version of the Butler'Volmer electrochemical kinetics equation associated with hydrostatic stress is developed and applied in the model. Hysteresis behavior observed during the experimental cycling of three different types of Si particles (carbon-coated porous, nano-sized and bulk(ball-milled)) cells is studied using this model. The model is made as simple as possible by assuming to be one dimensional, single spherical particle, half-cell and without electrolyte.
About the Presenter
Al-Mustasin Abir Hossain
Al-Mustasin Abir Hossain is a Graduate Researcher working in the Electrochemical Engineering Lab who is pursuing a Master of Science in Mechanical Engineering. His focus is mainly on the development of a physics-based electrochemical model and sensitivity analysis of Lithium-ion batteries. The person was got skills in the operation of Potentiostats, Thermal chamber and Data Loggers in the laboratory. Besides gathered experience in Simulation Arena. He gained much experience working with silicon Anode based Lithium-Ion batteries. He also achieved expertise with Parametric analysis and optimization. He used his overall skills in the battery management system.