Publication:
Onset of irreversible reactions in overcharging lithium-ion cells: an experimental and modeling approach

Consultable a partir de

Date

2023

Authors

Irujo Izcue, Elisa
Lalinde Sainz, Iñaki
Arza, Joseba

Director

Publisher

IEEE
Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión aceptada / Onetsi den bertsioa

Project identifier

European Commission/Horizon 2020 Framework Programme/774094openaire
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111262RB-I00/ES/
//TED2021-132457B-I00
Gobierno de Navarra//0011-1411-2022- 000039

Abstract

Lithium-ion batteries are energy storage systems used in an increasing number of applications. Due to their flammable materials, their use entails risks of fire and explosion. The study of the abuse operation of these batteries before reaching the thermal runaway is a relevant research topic to prevent safety issues. There are various studies in the bibliography providing exhaustive thermal studies of the safe operating area, as well as concerning the thermal runaway. However, the onset irreversible reactions, that take place at a SOC around 110%, have not been properly analyzed. We present in this contribution an experimental study of this onset reaction measured in pouch Li-ion cells under various conditions of charge current and temperature. We also propose a lumped-parameter thermal model for the cell, which allows a detailed characterization of this exothermic reaction. The results achieved in this contributions can be a key tool to prevent overcharge accidents that may arise due to malfunctioning of the battery charger or battery management system.

Keywords

Lithium-ion battery, Overcharge, Thermal runaway

Department

Ingeniería Eléctrica, Electrónica y de Comunicación / Institute of Smart Cities - ISC / Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren

Faculty/School

Degree

Doctorate program

Editor version

Funding entities

This work is part of the projects PID2019-111262RB-I00, funded by MCIN/AEI/10.13039/501100011033/, TED2021-132457B-I00, funded by MCIN/AEI/10.13039/501100011033/ and by the European Union NextGenerationEU/PRTR, STARDUST (774094), funded by European Union's Horizon 2020 research and innovation programme, HYBPLANT (0011-1411-2022- 000039), funded by Government of Navarre, and has also been supported by MCIN/AEI/10.13039/501100011033/ and by European Social Fund under a PhD scholarship (grant PRE2020-095314).

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.

Los documentos de Academica-e están protegidos por derechos de autor con todos los derechos reservados, a no ser que se indique lo contrario.