A New Methodology for Early Detection of Failures in Lithium-Ion Batteries

Author:

Carbonó dela Rosa Mario Eduardo1ORCID,Velasco Herrera Graciela2ORCID,Nava Rocío1,Quiroga González Enrique3ORCID,Sosa Echeverría Rodolfo4ORCID,Sánchez Álvarez Pablo4ORCID,Gandarilla Ibarra Jaime5ORCID,Velasco Herrera Víctor Manuel6ORCID

Affiliation:

1. Instituto de Energías Renovables, Universidad Nacional Autónoma de México, Temixco 3462580, Mexico

2. Instituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México, Ciudad Universitaria, Coyoacán, Mexico City 04510, Mexico

3. Instituto de Física, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla 72570, Mexico

4. Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, Circuito Exterior, C.U., Coyoacán, Mexico City 04510, Mexico

5. Facultad de Ingeniería, Universidad Nacional Autónoma de México, Circuito Exterior, C.U., Coyoacán, Mexico City 04510, Mexico

6. Instituto de Geofísica, Universidad Nacional Autónoma de México, Circuito Exterior, C.U., Coyoacán, Mexico City 04510, Mexico

Abstract

The early fault detection and reliable operation of lithium-ion batteries are two of the main challenges the technology faces. Here, we report a new methodology for early failure detection in lithium-ion batteries. This new methodology is based on wavelet spectral analysis to detect overcharge failure in batteries that is performed for voltage data obtained in cycling tests, subjected to a standard charge/discharge protocol. The main frequencies of the voltage temporal signal, the harmonic components in the regular cycling test, and a low frequency pattern were identified. For the first time, battery failure can be anticipated by wavelet spectral analysis. These results could be the key to the new early detection of battery failures in order to reduce out-of-control explosions and fire risks.

Funder

CONACyT project 21077

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Lithium-Ion Cell and Battery Testing by Spectral Analysis;2024 47th International Spring Seminar on Electronics Technology (ISSE);2024-05-15

2. Voltage Prediction and Fault Detection by using Model Fusion Strategy for Lithium-ion Batteries;2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security Companion (QRS-C);2023-10-22

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