The electrochemical characteristics of LIBs lead to the complex electrical behavior of batteries, like hysteresis, strong time-varying features, and nonlinearity. Therefore, the modeling of LIBs helps better understand the performance and dynamic behavior of LIBs. Electrochemical models of LIBs include the physical phenomena inside the batteries, including internal physics, Li concentrations, and overpotentials. Also, there are not enough studies in battery modeling at a very low state of charge. In this project, first, we aim to find an electrolyte solution that is able to discharge the batteries down to 2 V after the rebound effect. It will ensure a safe recycling process. Next, the aim of the project is to have a better understanding of the battery behavior during a low state of charge. We will use Electrical equivalent circuit model of the battery to have a better view of V-I characteristics, SOC, internal resistance, operating cycles. We will also develop an electrochemical model of the Lithium-ion battery at the low state of charge to know about physical phenomena inside the batteries, including internal physics, Li concentrations, and overpotentials. Finally, with the help of the Multi-physics model, we would predict the heat distribution inside of the battery during electrochemical discharge.

2022

2023