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Detecting the foreign matter defect in lithium-ion batteries based on battery pilot manufacturing line data analyses

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  • Pan, Yue
  • Kong, Xiangdong
  • Yuan, Yuebo
  • Sun, Yukun
  • Han, Xuebing
  • Yang, Hongxin
  • Zhang, Jianbiao
  • Liu, Xiaoan
  • Gao, Panlong
  • Li, Yihui
  • Lu, Languang
  • Ouyang, Minggao

Abstract

Foreign matter defect introduced during lithium-ion battery manufacturing process is one of the main reasons for battery thermal runaway. Therefore, reliable detection of the foreign matter defect is needed for safe and long-term operation of lithium-ion batteries. It is favored to detect the defective battery during the battery manufacturing process before the battery is put into use. In this study, the defects are implanted into batteries on a real battery pilot manufacturing line. Data of defective batteries and thousands of normal batteries are collected for data analyses and algorithm development. Feature selection is conducted with feature importance analysis using the random forest method and out-of-bag error calculation. Local outlier factor method is used for defect detection with the selected features as input. The proposed defect detection algorithm achieves high detection rate and low false alarm rate which has the potential to be deployed on the manufacturing execution system to further enhance screening ability of defective batteries and improve battery safety.

Suggested Citation

  • Pan, Yue & Kong, Xiangdong & Yuan, Yuebo & Sun, Yukun & Han, Xuebing & Yang, Hongxin & Zhang, Jianbiao & Liu, Xiaoan & Gao, Panlong & Li, Yihui & Lu, Languang & Ouyang, Minggao, 2023. "Detecting the foreign matter defect in lithium-ion batteries based on battery pilot manufacturing line data analyses," Energy, Elsevier, vol. 262(PB).
    • Handle: RePEc:eee:energy:v:262:y:2023:i:pb:s0360544222023842
    DOI: 10.1016/j.energy.2022.125502
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    as
    1. McIlwaine, Neil & Foley, Aoife M. & Morrow, D. John & Al Kez, Dlzar & Zhang, Chongyu & Lu, Xi & Best, Robert J., 2021. "A state-of-the-art techno-economic review of distributed and embedded energy storage for energy systems," Energy, Elsevier, vol. 229(C).
    2. Fan, Zhaohui & Gao, Renjing & Liu, Shutian, 2022. "Thermal conductivity enhancement and thermal saturation elimination designs of battery thermal management system for phase change materials based on triply periodic minimal surface," Energy, Elsevier, vol. 259(C).
    3. Lai, Xin & Huang, Yunfeng & Gu, Huanghui & Han, Xuebing & Feng, Xuning & Dai, Haifeng & Zheng, Yuejiu & Ouyang, Minggao, 2022. "Remaining discharge energy estimation for lithium-ion batteries based on future load prediction considering temperature and ageing effects," Energy, Elsevier, vol. 238(PA).
    4. Ruben Leithoff & Arian Fröhlich & Steffen Masuch & Gabriela Ventura Silva & Klaus Dröder, 2022. "Process-Product Interdependencies in Lamination of Electrodes and Separators for Lithium-Ion Batteries," Energies, MDPI, vol. 15(7), pages 1-17, April.
    5. Zhang, Xinghui & Li, Zhao & Luo, Lingai & Fan, Yilin & Du, Zhengyu, 2022. "A review on thermal management of lithium-ion batteries for electric vehicles," Energy, Elsevier, vol. 238(PA).
    6. David, Lamuel & Ruther, Rose E. & Mohanty, Debasish & Meyer, Harry M. & Sheng, Yangping & Kalnaus, Sergiy & Daniel, Claus & Wood, David L., 2018. "Identifying degradation mechanisms in lithium-ion batteries with coating defects at the cathode," Applied Energy, Elsevier, vol. 231(C), pages 446-455.
    7. Huang, Peifeng & Yao, Caixia & Mao, Binbin & Wang, Qingsong & Sun, Jinhua & Bai, Zhonghao, 2020. "The critical characteristics and transition process of lithium-ion battery thermal runaway," Energy, Elsevier, vol. 213(C).
    8. Li, Yalun & Gao, Xinlei & Feng, Xuning & Ren, Dongsheng & Li, Yan & Hou, Junxian & Wu, Yu & Du, Jiuyu & Lu, Languang & Ouyang, Minggao, 2022. "Battery eruption triggered by plated lithium on an anode during thermal runaway after fast charging," Energy, Elsevier, vol. 239(PB).
    9. Yi Wu & Saurabh Saxena & Yinjiao Xing & Youren Wang & Chuan Li & Winco K. C. Yung & Michael Pecht, 2018. "Analysis of Manufacturing-Induced Defects and Structural Deformations in Lithium-Ion Batteries Using Computed Tomography," Energies, MDPI, vol. 11(4), pages 1-22, April.
    10. Olatomiwa Badmos & Andreas Kopp & Timo Bernthaler & Gerhard Schneider, 2020. "Image-based defect detection in lithium-ion battery electrode using convolutional neural networks," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 885-897, April.
    11. Qiao, Dongdong & Wang, Xueyuan & Lai, Xin & Zheng, Yuejiu & Wei, Xuezhe & Dai, Haifeng, 2022. "Online quantitative diagnosis of internal short circuit for lithium-ion batteries using incremental capacity method," Energy, Elsevier, vol. 243(C).
    12. Lin, Qian & Wang, Jun & Xiong, Rui & Shen, Weixiang & He, Hongwen, 2019. "Towards a smarter battery management system: A critical review on optimal charging methods of lithium ion batteries," Energy, Elsevier, vol. 183(C), pages 220-234.
    13. Zhou, Zhizuan & Zhou, Xiaodong & Cao, Bei & Yang, Lizhong & Liew, K.M., 2022. "Investigating the relationship between heating temperature and thermal runaway of prismatic lithium-ion battery with LiFePO4 as cathode," Energy, Elsevier, vol. 256(C).
    14. Olabi, A.G. & Wilberforce, Tabbi & Sayed, Enas Taha & Abo-Khalil, Ahmed G. & Maghrabie, Hussein M. & Elsaid, Khaled & Abdelkareem, Mohammad Ali, 2022. "Battery energy storage systems and SWOT (strengths, weakness, opportunities, and threats) analysis of batteries in power transmission," Energy, Elsevier, vol. 254(PA).
    15. Shahjalal, Mohammad & Roy, Probir Kumar & Shams, Tamanna & Fly, Ashley & Chowdhury, Jahedul Islam & Ahmed, Md. Rishad & Liu, Kailong, 2022. "A review on second-life of Li-ion batteries: prospects, challenges, and issues," Energy, Elsevier, vol. 241(C).
    16. Jilte, Ravindra & Afzal, Asif & Panchal, Satyam, 2021. "A novel battery thermal management system using nano-enhanced phase change materials," Energy, Elsevier, vol. 219(C).
    17. Zhao, Yang & Liu, Peng & Wang, Zhenpo & Zhang, Lei & Hong, Jichao, 2017. "Fault and defect diagnosis of battery for electric vehicles based on big data analysis methods," Applied Energy, Elsevier, vol. 207(C), pages 354-362.
    18. Guo, Chao & Liu, Huan-ling & Guo, Qi & Shao, Xiao-dong & Zhu, Ming-liang, 2022. "Investigations on a novel cold plate achieved by topology optimization for lithium-ion batteries," Energy, Elsevier, vol. 261(PA).
    19. Jiang, Lulu & Deng, Zhongwei & Tang, Xiaolin & Hu, Lin & Lin, Xianke & Hu, Xiaosong, 2021. "Data-driven fault diagnosis and thermal runaway warning for battery packs using real-world vehicle data," Energy, Elsevier, vol. 234(C).
    20. Liu, Lishuo & Feng, Xuning & Zhang, Mingxuan & Lu, Languang & Han, Xuebing & He, Xiangming & Ouyang, Minggao, 2020. "Comparative study on substitute triggering approaches for internal short circuit in lithium-ion batteries," Applied Energy, Elsevier, vol. 259(C).
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    Cited by:

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    2. Daniel Evans & Paul-Martin Luc & Claas Tebruegge & Julia Kowal, 2023. "Detection of Manufacturing Defects in Lithium-Ion Batteries-Analysis of the Potential of Computed Tomography Imaging," Energies, MDPI, vol. 16(19), pages 1-17, October.
    3. Guo, Wenchao & Yang, Lin & Deng, Zhongwei & Li, Jilin & Bian, Xiaolei, 2023. "Rapid online health estimation for lithium-ion batteries based on partial constant-voltage charging segment," Energy, Elsevier, vol. 281(C).
    4. García, Antonio & Monsalve-Serrano, Javier & Ponce-Mora, Alberto & Fogué-Robles, Álvaro, 2023. "Development of a calibration methodology for fitting the response of a lithium-ion cell P2D model using real driving cycles," Energy, Elsevier, vol. 271(C).

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