Desenvolvimento de uma infraestrutura de testes para classificação de baterias de segunda vida

Abstract

The growing popularization of electric vehicles (EVs), driven by the search for clean energy and renewable sources, raises the crucial question regarding the fate of lithium-ion batteries at the end of their useful life. The repurposing of these batteries in "second-life" applications emerges as a solution aligned with the circular economy. This work is part of a research project between UTFPR, CNPq, and Renault, which provided three battery packs from the Kangoo Z.E. electric vehicle for study. The main objective was the development of a test infrastructure for the classification of these second-life battery modules, focusing on the precise determination of the State of Health (SoH). To achieve this, a printed circuit board (PCB) dedicated to data acquisition was designed, capable of accurately measuring voltage, current, and temperature. Complementarily, a MATLAB algorithm was developed to apply the Coulomb Counting method, perform charge and discharge tests, process the data, and calculate the SoH of each module. The infrastructure was experimentally validated by characterizing 114 modules, revealing significant heterogeneity in the batch, with 51.75% of the available modules presenting a SoH greater than 70%, a condition considered optimal for second-life applications. It is concluded, through the obtained results, that the developed infrastructure is an effective tool for the screening and classification of second-life batteries from electric and hybrid vehicles.