The thesis project is dedicated to the development of an automated system for sorting electrochemical cells, including the design, construction and testing of the system, as well as the analysis of existing technologies and the development of new methods. The project covers the creation of a conveyor system with integrated sensors to measure the physical and chemical properties of batteries, the use of machine vision to identify and classify them, and the development of software to control this process.
The project pays special attention to the development of accurate and fast algorithms to optimize the sorting process, which reduces the cost of processing and increases the yield of high-quality secondary raw materials. The use of modern sensor technologies and robotic manipulators to automate sorting processes is considered.
The project structure includes an analysis of the theoretical foundations of sorting electrochemical elements, development of a technological section with the selection of system components, calculation of key performance indicators, and review of existing sorting systems to identify opportunities for improvement.
This project makes a significant contribution to the improvement of waste sorting technologies, contributing to more efficient use of resources and reducing the negative impact on the environment.
Research advisor: S. Nechai
