Automated Workstation for Lithium-ion Battery Cycling, Spectroscopy and Custom Profile for Cell Characterization

Abstract

This study presents the design of an experimental setup for the automated cycling and spectroscopic analysis of lithium-ion cells to improve efficiency in generating data. This allows us to address challenges in estimating energy storage device's health and autonomy. These challenges make it necessary to use charging and discharging with customized profiles and integrate exhaustive Electrochemical Impedance Spectroscopy analysis during these processes. This work proposes the interconnection of different equipment to carry out synchronized experiments. The results show the system's ability to perform charge, discharge, and cell characterization tests in a temperature-controlled environment. This approach contributes significantly to the understanding and managing of lithium-ion cells in various applications, from transportation to renewable energy storage, by offering an automated and versatile tool for realist experimental data generation. The main contributions of this paper lie in developing a lithium-ion workstation that allows the complete design and execution of complex experiments. © 2023 IEEE.

Más información

Título según WOS: Automated Workstation for Lithium-ion Battery Cycling, Spectroscopy and Custom Profile for Cell Characterization
Título según SCOPUS: Automated Workstation for Lithium-ion Battery Cycling, Spectroscopy and Custom Profile for Cell Characterization
Editorial: Institute of Electrical and Electronics Engineers Inc.
Fecha de publicación: 2023
Año de Inicio/Término: December 8-10, 2023
Idioma: English
URL: https://doi.org/10.1109/ONCON60463.2023.10431101
DOI:

10.1109/ONCON60463.2023.10431101

Notas: ISI, SCOPUS