Non-Destructive Detection Techniques for Lithium-Ion Batteries Based on Magnetic Field Characteristics-A Model-Based Study

Abstract

Localized degradation and faults of lithium-ion batteries critically affect their lifespan and safety. Magnetic field distribution of batteries is effective for non-destructive detection, yet their broader application is hindered by limited data availability. In this study, A novel three-dimensional electrochemical-magnetic field model is proposed to address this critical issue through the magnetic field characteristics of batteries. The model comprehensively investigates the distinctive magnetic field distribution associated with various anomalies, including tab fractures, current collector fractures, internal short circuit (ISC), electrolyte drying-out, and electrode materials deactivation. In this way, the relative magnetic field changes and the magnetic field gradient distribution of different degradation patterns and faults can be extracted for non-destructive detection of subtle localized anomalies. The method offers solutions for classifying various degradation patterns and faults, breaking the limitations of overall signals. Such advancements are instrumental in enhancing battery safety and management.

Keywords: Lithium-ion battery, Non-destructive detection, multiple battery degradation and faults analysis, electrochemical-magnetic field model