Research Progress of Non-Invasive Magnetic Resonance Imaging in Lithium-Ion Battery Detection

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Authors: Wen Jiang, Yunyi Deng, Wentao Li, Jilong Song, Songtao Che, Kai Wang
Cited by: 4
References: 83

Abstract

Non-invasive magnetic resonance imaging (MRI), as an extension of nuclear magnetic resonance (NMR) technology, enables detailed characterization of lithium-ion batteries (LIBs) in model systems. This review summarizes the fundamental principles of MRI and its applications in liquid/solid electrolytes, electrodes, and limited commercial diagnostics. Key capabilities include quantifying ion diffusion coefficients and mobility numbers in electrolytes, visualizing dendrite growth in lithium metal, and tracking lithium distribution in porous electrodes such as graphite and LiCoO2. However, spatial and temporal resolution (typically 10–100 μm with acquisition times ranging from minutes to hours) and metal-induced shielding effects severely limit direct imaging in complete commercial batteries. Indirect methods like magnetic field imaging (MFI) show potential for defect detection. Future work should focus on sequence optimization and multimodal fusion, while emphasizing MRI’s primary role in fundamental research rather than conventional industrial testing.

Fields of Study & Subjects

Advancements in Battery Materials Advanced Battery Materials and Technologies Advanced Battery Technologies Research

Publication details

Journal / source
Coatings
Publisher
MDPI AG
Volume
16
Issue
4
Pages
453–453
Publication date
9 April 2026
Language
EN