Artificial intelligence (AI) to study self-discharge batteries

Abstract

This work shows the application of artificial intelligence (AI) in the selection of proper batteries for various applications. A graphical user interface (GUI) to estimate the status or the life of a battery based on its type and capacity is developed. The GUI interface is used in the front end for user input and output and different self-discharge equations are solved in the back end to produce different results and plots. A program that calculates the self-discharge of different chemical reactions in a battery for every day, can have several advantages to the companies and to the stores. It is time saving and easy to use for most engineers and people outside the major. So far, the program has multiple tabs for different kinds of uses in the battery’s self-discharge. This work also provides options to categorize various batteries for various applications.