Metal foreign matter defect method for lithium-ion batteries based on free-discharge high-potential test

Metal foreign matter defects in lithium-ion batteries can cause internal short circuits and thermal runaway, posing serious safety risks. However, conventional high potential (Hi-pot) testing often fails to reliably detect such defects in real production lines. This paper proposes a detection method based on free-discharge features during Hi-pot testing. The free-discharge initiation voltage U 1 and termination voltage U 2 are extracted as characteristic indicators, and the local outlier factor (LOF) algorithm is used to identify defective batteries. Copper particles with diameters of 150, 250, and 350 µm were implanted into 270 defective batteries, alongside 3000 normal batteries, and tested at 250, 350, and 450 V. Results show that increasing test voltage and particle diameter improves detection performance. At 450 V, the method achieves recall rates of 56.67% (17/30) and 80.00% (24/30) for 150 and 350 µm defects, respectively. The proposed method offers a practical and reliable approach for detecting metal foreign matter defects in battery manufacturing.

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Publication Details

Journal
Energy Exploration & Exploitation
Published
2026-10-30
DOI
https://doi.org/10.1177/01445987261505507
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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Metal foreign matter defect method for lithium-ion batteries based on free-discharge high-potential test

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Energy Exploration & Exploitation
Advanced Battery Technologies Research
article

Metal foreign matter defect method for lithium-ion batteries based on free-discharge high-potential test

Teng Su, Dongdong Qiao, Xin Min Lai, Xiangjun Li, Xiaowei Shen, Zhiwei Zhao, Yuejiu Zheng, Zhicheng Zhu
article en

Abstract

Metal foreign matter defects in lithium-ion batteries can cause internal short circuits and thermal runaway, posing serious safety risks. However, conventional high potential (Hi-pot) testing often fails to reliably detect such defects in real production lines. This paper proposes a detection method based on free-discharge features during Hi-pot testing. The free-discharge initiation voltage U 1 and termination voltage U 2 are extracted as characteristic indicators, and the local outlier factor (LOF) algorithm is used to identify defective batteries. Copper particles with diameters of 150, 250, and 350 µm were implanted into 270 defective batteries, alongside 3000 normal batteries, and tested at 250, 350, and 450 V. Results show that increasing test voltage and particle diameter improves detection performance. At 450 V, the method achieves recall rates of 56.67% (17/30) and 80.00% (24/30) for 150 and 350 µm defects, respectively. The proposed method offers a practical and reliable approach for detecting metal foreign matter defects in battery manufacturing.

Energy Exploration & Exploitation
University of Shanghai for Science and Technology (CN), China Automotive Engineering Research Institute (CN), China Electric Power Research Institute (CN), Jiangxi Polytechnic University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 23%
Advanced Battery Technologies Research
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