Temperature indicators and overtemperature detection in lithium-ion batteries based on electrochemical impedance spectroscopy
Fecha
2023Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Contribución a congreso / Biltzarrerako ekarpena
Versión
Versión aceptada / Onetsi den bertsioa
Identificador del proyecto
Impacto
|
10.1109/ISIE51358.2023.10228079
Resumen
Lithium-ion batteries are the leading technology for energy storage systems due to their attractive advantages. However, the safety of lithium-ion batteries is a major concern, as their operating conditions are limited in terms of temperature, voltage and state of charge. Therefore, it is important to monitor the conditions of lithium-ion batteries to guarantee safe operation. To this end, in the ...
[++]
Lithium-ion batteries are the leading technology for energy storage systems due to their attractive advantages. However, the safety of lithium-ion batteries is a major concern, as their operating conditions are limited in terms of temperature, voltage and state of charge. Therefore, it is important to monitor the conditions of lithium-ion batteries to guarantee safe operation. To this end, in the present work, we analyze electrochemical impedance spectroscopy (EIS) as a tool to estimate the temperature of batteries. Overtemperature abuse tests from 25 °C to 140 °C are performed at various states of charge, and EIS measurements are obtained during the tests. The influence of temperature on cell impedance at different frequencies is analyzed and new findings are revealed. The real part of the impedance is identified to be the best indicator for cell temperature estimation by EIS. In addition, the best frequency to achieve accurate temperature monitoring, avoiding disturbances produced by state of charge variations, is proposed based on experimental results. Finally, EIS is proven to be a reliable technique for overtemperature and thermal runaway detection. [--]
Materias
Lithium-ion batteries,
Safety,
Electrochemical impedance spectroscopy,
Impedance,
Temperature estimation
Editor
IEEE
Publicado en
En: ISIE. 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE). Piscataway: IEEE; 2023. 979-8-3503-9971-4
Departamento
Universidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicación /
Nafarroako Unibertsitate Publikoa. Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza Saila /
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute of Smart Cities - ISC
Versión del editor
Entidades Financiadoras
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).
Aparece en las colecciones
- Comunicaciones y ponencias de congresos DIEC - IEKS Biltzarretako komunikazioak eta txostenak [181]
- Comunicaciones y ponencias de congresos - Biltzarrak eta Argitalpenak [807]
- Comunicaciones y ponencias de congresos ISC - ISC biltzarretako komunikazioak eta txostenak [226]
- Investigaciones financiadas por la Unión Europea (OpenAire) - Europar Batasunak finantzatutako ikerketak (OpenAire) [258]