journal article·2026-08Open access

Excitability, attenuation and mode identification of guided waves in multilayer lithium-ion pouch cells

Alexander Siegl, Bernhard Schweighofer, Hannes Wegleiter

Abstract

Guided-wave inspection of lithium-ion pouch cells has been reported with strongly inconsistent phase velocities and mode assignments, complicating reliable interpretation of ultrasonic measurements in these complex multilayer structures. In particular, the fundamental quasi-antisymmetric mode (qA 0 ) has been reported both at low frequencies with velocities on the order of 100 - 200 m s −1 and at higher frequencies with velocities close to 1000 m s −1 , raising concerns regarding incorrect mode identification in non-destructive evaluation. Such ambiguities can influence the sensitivity and spatial interpretation of guided-wave-based diagnostics, and thereby affect their consistent application. In this work, we systematically investigate the physical origin of this discrepancy by combining controlled guided-wave experiments with a fully three-dimensional multiphysics simulation framework that explicitly models wave excitation, propagation, and attenuation in a multilayer lithium-ion pouch cell. The anode and cathode are effectively described as homogenised, fluid-saturated slurries in the long-wavelength regime and augmented with viscoelastic damping to reproduce the experimentally observed frequency-dependent attenuation. The model is parametrised using effective mechanical properties to quantitatively reproduce measured acceleration time signals in the 3 kHz - 15kHz band, capturing propagation velocity, the dominant out-of-plane flexural response, and amplitude attenuation along the propagation path. Building on this validated model, dispersion characteristics, mode attenuation, and guided-wave excitability are computed and experimentally verified. The results demonstrate that under normal out-of-plane excitation, the qA 0 mode is the predominantly excitable and observable guided-wave mode in thick pouch cells at low frequencies, while higher frequency measurements primarily excite faster higher-order modes due to strong attenuation of qA 0 . Mode excitability analysis further reveals the decisive role of transducer forcing direction in governing observable wave content. The presented results establish a physically consistent framework for guided-wave mode identification and interpretation in lithium-ion pouch cells, providing essential guidance for the design and reliable application of guided-wave-based non-destructive evaluation in complex multilayer energy-storage structures.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Ultrasonics and Acoustic Wave Propagation · Ultrasound Imaging and Elastography · Electrostatics and Colloid Interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (44)

Show source-provided references
1. Current li-ion battery technologies in electric vehicles and opportunities for advancements10.3390/en12061074 ↗
2. Critical review of the methods for monitoring of lithium-ion batteries in electric and hybrid vehicles10.1016/j.jpowsour.2014.02.064 ↗
3. Lithium-ion battery electrode inspection using pulse thermography10.1016/j.ndteint.2014.02.006 ↗
4. Material-resolving computed tomography of lithium-ion batteries using deep learning10.1016/j.ndteint.2025.103565 ↗
5. On the use of electrochemical impedance spectroscopy to characterize and model the aging phenomena of lithium-ion batteries: a critical review10.1016/j.jpowsour.2021.229860 ↗
6. Critical review of non-invasive diagnosis techniques for quantification of degradation modes in lithium-ion batteries10.1016/j.rser.2019.03.060 ↗
7. Cause and mitigation of lithium-ion battery failure - A Review10.3390/ma14195676 ↗
8. Enhancing lithium-ion battery monitoring: A critical review of diverse sensing approaches10.1016/j.etran.2024.100360 ↗
9. A review of non-destructive testing for lithium batteries10.3390/en17164030 ↗
10. Mechanical methods for state determination of lithium-ion secondary batteries: A review10.1016/j.est.2020.101859 ↗
11. State of health and charge measurements in lithium-ion batteries using mechanical stress10.1016/j.jpowsour.2014.07.003 ↗
12. Advances in acoustic techniques for evaluating defects and properties in lithium-ion batteries: A review10.1016/j.ultras.2024.107400 ↗
13. Initial state of charge estimation for prismatic LiFePO4 cells using ultrasonic velocity along internal layers10.1016/j.ndteint.2025.103580 ↗
14. State of charge and state of health estimation using electrochemical acoustic time of flight analysis10.1149/2.1411712jes ↗
15. Probing lithium-ion batteries’ state-of-charge using ultrasonic transmission, concept and laboratory testing10.1016/j.jpowsour.2017.01.090 ↗
16. Examining the cycling behaviour of li-ion batteries using ultrasonic time-of-flight measurements10.1016/j.jpowsour.2019.227318 ↗
17. Ultrasonic monitoring of lithium-ion batteries with in-situ self-temperature correction10.1016/j.jpowsour.2024.234103 ↗
18. Ultrasonic nondestructive diagnosis of lithium-ion batteries with multiple frequencies10.1016/j.jpowsour.2022.232091 ↗
19. Quantitative characterisation of the layered structure within lithium-ion batteries using ultrasonic resonance10.1016/j.est.2022.104585 ↗
20. Guided wave imaging of thin lithium-ion pouch cell using scanning laser Doppler vibrometer10.1007/s11581-020-03869-y ↗
21. Estimating state of charge and health of lithium-ion batteries with guided waves using built-in piezoelectric sensors/actuators10.1016/j.jpowsour.2018.02.056 ↗
22. State-of-charge and state-of-health estimation for lithium-ion battery using the direct wave signals of guided wave10.1016/j.est.2021.102657 ↗
23. Evaluation of the state of charge of lithium-ion batteries using ultrasonic guided waves and artificial neural network10.1007/s11581-022-04568-6 ↗
24. An electromagnetic acoustic transducer for generating acoustic waves in lithium-ion pouch cells
25. Investigation of guided wave dispersion curves of lithium-ion batteries at different state of charge levels
26. Determination of lamb wave modes on lithium-ion batteries using piezoelectric transducers10.3390/s22134748 ↗
27. A sensor model to simulate the excitation and propagation of lamb waves in lithium-ion pouch cells10.1109/LSENS.2023.3300805 ↗
28. Ultrasonic battery management system for lamb wave mode tracking on lithium-ion pouch cells10.1016/j.est.2023.109347 ↗
29. Ultrasonic guided wave measurement and modeling analysis of the state of charge for lithium-ion battery10.1016/j.est.2023.108384 ↗
30. Ultrasonic guided waves as an indicator for the state-of-charge of li-ion batteries10.1016/j.jpowsour.2023.233189 ↗
31. Guided waves propagation in lithium-ion batteries: Theoretical modeling and experimental analysis10.1016/j.ndteint.2024.103102 ↗
32. Battery state characterization based on a contactless electromagnetic ultrasound testing method10.1016/j.est.2024.113499 ↗
33. In-line detection of pouch foil damage in batteries during manufacturing using lamb waves10.1016/j.ndteint.2025.103322 ↗
34. Analysis of pouch performance to ensure impact safety of lithium-ion battery10.3390/en12152865 ↗
35. Rose · 2014
36. COMSOL, Inc. · 2025
37. Size dependency of mechanical properties of high purity aluminium foils10.1016/j.msea.2009.08.016 ↗
38. Mechanical properties of commercial copper current-collector foils10.1039/C4RA07675C ↗
39. A model for investigating sources of li-ion battery electrode heterogeneity: part I. electrode drying and calendering processes10.1149/1945-7111/ac0bf1 ↗
40. Experimental study on Poisson’s ratio of silty-fine sand with saturation10.3390/jmse11020427 ↗
41. Poisson’s ratio characteristic curve of unsaturated soils
42. The dispersion calculator: a free software for calculating dispersion curves of guided waves
43. Hirao · 2017
44. Tensile properties of free-standing aluminum thin films10.1016/S1359-6462(01)01067-3 ↗