Inducing alternating magnetic fields for real-time non-contact fault localization within electric energy storage component arrays

With the wide application of electric energy storage component arrays, such as battery cell arrays, capacitor arrays, and inductor arrays, their potential safety risks have gradually drawn the public attention. However, existing technologies cannot realize rapid, precise, and nondestructive localization of the faulty component within these large-scale arrays, especially for a component with an early stage short-circuit fault. To address this challenge, this paper proposes a magnetic field based method and realizes precise fault localization by inducing an alternating magnetic field from the target array, unlike previous research where a static magnetic field was induced. Through establishing a physical model of the short-circuit component as well as the whole array, a spatial filtering algorithm based on beamforming techniques is utilized to process the measured magnetic field data in real time. Both the simulation and experimental results demonstrate the capability of the proposed method in enhancing the security of electric energy storage component arrays. Within an imaging area of 80 × 80 mm2, the proposed method can accurately locate the faulty component out of a nine-component array, with an error of only 0.72 mm for capacitors and 0.91 mm for battery cells.

Authors

Institutions

Publication Details

Journal
Review of Scientific Instruments
Published
2024-10-01
DOI
https://doi.org/10.1063/5.0218273
Citations
1
Primary Topic
Microwave Imaging and Scattering Analysis
Type
article
Field-Weighted Citation Impact
0.18

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inducing alternating magnetic fields for real-time non-contact fault localization within electric energy storage component arrays

Shiwu Zhang, Yinan Hu, Wei Gao, Yulong Ma et al.
1 citations
Review of Scientific Instruments
Microwave Imaging and Scattering Analysis
0.18
article

Inducing alternating magnetic fields for real-time non-contact fault localization within electric energy storage component arrays

Shiwu Zhang, Yinan Hu, Wei Gao, Yulong Ma, Tonghui Peng, Ya Wu
article en
1 citations

Abstract

With the wide application of electric energy storage component arrays, such as battery cell arrays, capacitor arrays, and inductor arrays, their potential safety risks have gradually drawn the public attention. However, existing technologies cannot realize rapid, precise, and nondestructive localization of the faulty component within these large-scale arrays, especially for a component with an early stage short-circuit fault. To address this challenge, this paper proposes a magnetic field based method and realizes precise fault localization by inducing an alternating magnetic field from the target array, unlike previous research where a static magnetic field was induced. Through establishing a physical model of the short-circuit component as well as the whole array, a spatial filtering algorithm based on beamforming techniques is utilized to process the measured magnetic field data in real time. Both the simulation and experimental results demonstrate the capability of the proposed method in enhancing the security of electric energy storage component arrays. Within an imaging area of 80 × 80 mm2, the proposed method can accurately locate the faulty component out of a nine-component array, with an error of only 0.72 mm for capacitors and 0.91 mm for battery cells.

Review of Scientific InstrumentsVol. 95(10)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Czech Academy of Sciences, Institute of Biophysics (CZ), Wuhan Institute of Physics and Mathematics (CN), Institute of Biophysics (CN), QuantumCTek (China) (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 52%
Microwave Imaging and Scattering Analysis
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.