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.