Real-time and non-contact estimation of state of charge for lithium-ion battery using laser ultrasonics

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Real-time and non-contact estimation of state of charge for lithium-ion battery using laser ultrasonics
Title:
Real-time and non-contact estimation of state of charge for lithium-ion battery using laser ultrasonics
Journal Title:
Journal of Power Sources
Keywords:
Publication Date:
16 April 2024
Citation:
Sampath, S., Yin, X., Tham, Z. W., Chen, Y. F., & Zhang, L. (2024). Real-time and non-contact estimation of state of charge for lithium-ion battery using laser ultrasonics. Journal of Power Sources, 605, 234544. https://doi.org/10.1016/j.jpowsour.2024.234544
Abstract:
Lithium-ion batteries (LIBs) are widely used in portable electronics, electric vehicles, and stationary storage systems due to their high power and high energy. Monitoring the status of LIBs, particularly the state of charge (SOC), is crucial to ensuring battery performance and safety. Non-destructive ultrasonic approaches are recently emerging as a promising method for estimating the battery state and improving safety. However, current battery state estimation methods require contact and the use of a couplant, limiting their practicality and real-time applications. This study presents a non-contact laser ultrasonic system for monitoring the battery state during charge/discharge cycles. The experimental setup utilizes a line laser source to generate ultrasonic waves and an interferometer to detect the wave signal in a pitch-catch mode. Various ultrasonic features, including time-of-flight (TOF) and signal amplitude (SA), are analyzed in the time and frequency domains, respectively, at different degradation rates. The results show significant changes in the ultrasonic features in response to battery SOC and cycling degradation. The proposed non-contact ultrasonic method has the capability to determine the internal status of LIBs, enabling real-time monitoring of battery safety.
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
This research / project is supported by the National Research Foundation, Singapore - Central GAP Project
Grant Reference no. : NRF2020NRF-CG001-035

This research / project is supported by the National Research Foundation, Singapore - Singapore Battery Pack Programme
Grant Reference no. : M23L6a0020
Description:
ISSN:
0378-7753
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