Litcius/Paper detail

Quantitative characterisation of the layered structure within lithium-ion batteries using ultrasonic resonance

Ming Huang, Niall Kirkaldy, Yan Zhao, Yatish Patel, Frederic Cegla, Bo Lan

2022Journal of Energy Storage56 citationsDOIOpen Access PDF

Abstract

Lithium-ion batteries (LIBs) are becoming an important energy storage solution to achieve carbon neutrality, but it remains challenging to characterise their internal states for the assurance of performance, durability and safety. This work reports a simple but powerful non-destructive characterisation technique, based on the formation of ultrasonic resonance from the repetitive layers within LIBs. A physical model is developed from the ground up, to interpret the results from standard experimental ultrasonic measurement setups. As output, the method delivers a range of critical pieces of information about the inner structure of LIBs, such as the number of layers, the average thicknesses of electrodes, the image of internal layers, and the states of charge variations across individual layers. This enables the quantitative tracking of internal cell properties, potentially providing new means of quality control during production processes, and tracking the states of health and charge during operation.

Topics & Concepts

Ultrasonic sensorLithium (medication)Materials scienceIonTracking (education)Resonance (particle physics)Range (aeronautics)Work (physics)AcousticsMechanical engineeringEngineeringChemistryPhysicsComposite materialAtomic physicsPedagogyOrganic chemistryEndocrinologyPsychologyMedicineAdvancements in Battery MaterialsAdvanced Battery Technologies ResearchAdvanced Battery Materials and Technologies