系统工程
工程类
计算机科学
电池(电)
工作(物理)
钥匙(锁)
磁共振成像
电流(流体)
领域(数学)
风险分析(工程)
医学影像学
断层(地质)
成像技术
作者
Xiaoyu Liang,Xiaochao Wu,H Z Chen,Xuehai Li
出处
期刊:JPhys energy
[IOP Publishing]
日期:2026-07-20
卷期号:8 (3): 032003-032003
标识
DOI:10.1088/2515-7655/ae8d57
摘要
Abstract This review provides a comprehensive examination of non-destructive magnetic field-based imaging techniques for advanced diagnostics and monitoring of lithium-ion batteries. Two primary methodological approaches are systematically analyzed: magnetic resonance imaging methods, which detect state-of-charge via magnetic susceptibility variations, and direct magnetic field imaging techniques, which visualize internal current distributions. These methods enable non-invasive probing of key battery states and structural defects, offering a fundamental advantage over conventional monitoring techniques that rely on external electrical parameters. Their capacity for module-level, non-contact assessment also presents significant potential in applied scenarios, including the screening of retired batteries, demonstrating the potential to transition from laboratory characterization toward practical application. This review synthesizes recent advances, consolidates the current landscape of the technology, identifies major existing barriers, and provides forward-looking insights, ultimately aiming to advance the field toward intelligent battery management.
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