Numerical simulation assesses battery health and charge using ultrasound, indicating potential for enhanced battery monitoring.
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.
Cite This Study
Juan Pablo Gaviria Cardona (2026) studied this question.