What question did this study set out to answer?

The aim is to utilize numerical simulation to evaluate the state-of-health and state-of-charge in lithium-ion batteries through quantitative ultrasound spectroscopy.

June 3, 2026Open Access

Numerical Simulation of Quantitative Ultrasound Spectroscopy for State-of-Health and State-of-Charge Assessment in Lithium-Ion Batteries

Key Points

The aim is to utilize numerical simulation to evaluate the state-of-health and state-of-charge in lithium-ion batteries through quantitative ultrasound spectroscopy.
Used one-dimensional results from Implicit Finite Difference Method (I-FDM) and Local Radial Basis Function (L-RBF) method.
Applied two-dimensional simulations with the SimSonic software.
Processed simulation outputs in MATLAB for visualization.
Numerical datasets provide insights into ultrasound spectroscopic assessment of battery states.
1D and 2D simulation results are organized according to manuscript figures, demonstrating effective health and charge evaluation.
Findings showcase the applicability of numerical methods for enhanced understanding of lithium-ion battery performance.

Abstract

This repository contains the processed numerical datasets used to generatethe figures and quantitative ultrasound spectroscopy (QUS) results presentedin the manuscript: "Numerical Simulation of Quantitative Ultrasound Spectroscopy forState-of-Health and State-of-Charge Assessment in Lithium-Ion Batteries". The folders are organized according to the corresponding figures in the manuscript. The one-dimensional (1D) results were obtained using in-house numericalimplementations of the Implicit Finite Difference Method (I-FDM) andLocal Radial Basis Function (L-RBF) method. The two-dimensional (2D) simulation results were obtained using theopen-source software SimSonic. To visualize and process the 2D simulation outputs MATLABare required.

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