Lithium-ion Battery Tomography Based on Highly Sensitive Fiber Optic Ultrasound Sensor

Geng Chen; Liuyang Yang; Chenhao Dai; Xin Deng; Dongchen Xu; Anqi Wang; Qizhen Sun

doi:10.1364/cleo_at.2023.aw4k.6

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JOURNAL ARTICLE

Lithium-ion Battery Tomography Based on Highly Sensitive Fiber Optic Ultrasound Sensor

Geng Chen Liuyang Yang Chenhao Dai Xin Deng Dongchen Xu Anqi Wang Qizhen Sun

Year: 2023 Vol: 87 Pages: AW4K.6-AW4K.6

DOI: 10.1364/cleo_at.2023.aw4k.6

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Abstract

The sensor possesses high sensitivity of 0.226V/kPa and low noise equivalent pressure of 29.7mPa/Hz 1/2 , which enables the imaging system to investigate the inner changes of lithiumion batteries (LIBs) with high resolution.

Keywords:

Materials science Sensitivity (control systems) Battery (electricity) Optical fiber Noise (video) Fiber optic sensor Ultrasound Tomography Pressure sensor Ion Optoelectronics Optics Fiber Acoustics Electronic engineering Computer science Engineering Physics Composite material

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Advanced Battery Technologies Research

Physical Sciences → Engineering → Automotive Engineering

Electrical and Bioimpedance Tomography

Physical Sciences → Engineering → Electrical and Electronic Engineering

Analytical Chemistry and Sensors

Physical Sciences → Chemical Engineering → Bioengineering

Lithium-ion Battery Tomography Based on Highly Sensitive Fiber Optic Ultrasound Sensor

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