Magnetic Field‐Based Non‐Destructive Testing Techniques for Battery Diagnostics

Abstract With the widespread application of batteries in modern society, ensuring their safety and performance has become crucial. Traditional diagnostic methods, while providing valuable insights into battery performance, often require destructive sampling, making it difficult to achieve non‐destructive and real‐time monitoring. As a result, magnetic field‐based non‐destructive testing techniques, such as nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI), and magnetic field imaging (MFI), have emerged as powerful tools for battery diagnostics. These techniques have garnered significant attention due to their non‐invasive nature and real‐time detection capabilities, allowing for the identification of defects and malfunctions under normal operating conditions without disassembling the battery or interrupting its use. This paper reviews recent advancements in the application of magnetic field‐based non‐destructive testing technologies for battery diagnostics, analyzing both their strengths and limitations. Through a comprehensive assessment of current research findings, this work provides researchers and engineers with a systematic reference to promote the application and development of magnetic field technologies in the battery field. Additionally, this review discusses the challenges and limitations encountered by magnetic field technologies in battery diagnostics and provides recommendations for their future development. The objective is to offer insights and foster continued innovation and advancement in this field.

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Institutions

Publication Details

Journal
Advanced Energy Materials
Published
2024-11-22
DOI
https://doi.org/10.1002/aenm.202404295
Citations
16
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
3.25

Funders

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article

Magnetic Field‐Based Non‐Destructive Testing Techniques for Battery Diagnostics

Shuhao Zou, Kun Zhao, Jun Liu, Hongbo Wu et al.
16 citations
Advanced Energy Materials
Advanced Battery Technologies Research
3.25
article

Magnetic Field‐Based Non‐Destructive Testing Techniques for Battery Diagnostics

Shuhao Zou, Kun Zhao, Jun Liu, Hongbo Wu, Xuanhong Wan, Yenchen Lin, Xiang Tan, Min Zhu
article en
16 citations

Abstract

Abstract With the widespread application of batteries in modern society, ensuring their safety and performance has become crucial. Traditional diagnostic methods, while providing valuable insights into battery performance, often require destructive sampling, making it difficult to achieve non‐destructive and real‐time monitoring. As a result, magnetic field‐based non‐destructive testing techniques, such as nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI), and magnetic field imaging (MFI), have emerged as powerful tools for battery diagnostics. These techniques have garnered significant attention due to their non‐invasive nature and real‐time detection capabilities, allowing for the identification of defects and malfunctions under normal operating conditions without disassembling the battery or interrupting its use. This paper reviews recent advancements in the application of magnetic field‐based non‐destructive testing technologies for battery diagnostics, analyzing both their strengths and limitations. Through a comprehensive assessment of current research findings, this work provides researchers and engineers with a systematic reference to promote the application and development of magnetic field technologies in the battery field. Additionally, this review discusses the challenges and limitations encountered by magnetic field technologies in battery diagnostics and provides recommendations for their future development. The objective is to offer insights and foster continued innovation and advancement in this field.

Advanced Energy MaterialsVol. 15(10)
South China University of Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Advanced Battery Technologies Research
3.25
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