IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i12p4379-d839910.html
   My bibliography  Save this article

Laser Doppler Vibrometry for Evaluating the Quality of Welds in Lithium-Ion Supercells

Author

Listed:
  • Alon Ratner

    (Warwick Manufacturing Group (WMG), University of Warwick, Coventry CV4 7AL, UK)

  • Michael Wood

    (Warwick Manufacturing Group (WMG), University of Warwick, Coventry CV4 7AL, UK)

  • Maximilian Chowanietz

    (Polytec Ltd., Unit 8, The Cobalt Centre, Siskin Parkway East, Coventry CV3 4PE, UK)

  • Nikhil Kumar

    (Warwick Manufacturing Group (WMG), University of Warwick, Coventry CV4 7AL, UK)

  • Rashik Patel

    (Warwick Manufacturing Group (WMG), University of Warwick, Coventry CV4 7AL, UK)

  • Paul Hadlum

    (Warwick Manufacturing Group (WMG), University of Warwick, Coventry CV4 7AL, UK)

  • Abhishek Das

    (Department of Mechanical Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, Delhi 110016, India)

  • Iain Masters

    (Warwick Manufacturing Group (WMG), University of Warwick, Coventry CV4 7AL, UK)

Abstract

The inspection of the quality of welds in battery packs plays an important role in ensuring safety during the manufacturing and operation of energy-storage devices in automotive vehicles during service. This research investigated the novel application of laser Doppler vibrometry, a widely used non-destructive optical technique for modal analysis, to the post-weld evaluation of micro-TIG-welded interconnections in lithium-ion supercells. The experimental modal analysis showed features in the modal models of the supercells that were unique to their welding conditions. The comparisons between the supercells showed an absence of linear correlations between the modal parameters and the welding current, as well as differences in the welding parameters obtained from the negative and positive terminals of the cylindrical cells. These findings suggested that the modal parameters of the supercells were more strongly influenced by the rigidity of the structural materials than by the localized compliance of the welded interconnections. While this investigation demonstrated a method for using laser Doppler vibrometry to distinguish between different welding conditions in lithium-ion supercells at a structural level, further development is needed to identify the weld quality of individual interconnections.

Suggested Citation

  • Alon Ratner & Michael Wood & Maximilian Chowanietz & Nikhil Kumar & Rashik Patel & Paul Hadlum & Abhishek Das & Iain Masters, 2022. "Laser Doppler Vibrometry for Evaluating the Quality of Welds in Lithium-Ion Supercells," Energies, MDPI, vol. 15(12), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4379-:d:839910
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/12/4379/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/12/4379/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Guiqian Liu & Xiangdong Gao & Deyong You & Nanfeng Zhang, 2019. "Prediction of high power laser welding status based on PCA and SVM classification of multiple sensors," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 821-832, February.
    2. Kebede, Abraham Alem & Kalogiannis, Theodoros & Van Mierlo, Joeri & Berecibar, Maitane, 2022. "A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mehmet C. Yagci & Thomas Feldmann & Elmar Bollin & Michael Schmidt & Wolfgang G. Bessler, 2022. "Aging Characteristics of Stationary Lithium-Ion Battery Systems with Serial and Parallel Cell Configurations," Energies, MDPI, vol. 15(11), pages 1-19, May.
    2. Efstathios E. Michaelides, 2025. "Energy Efficiency and the Transition to Renewables—Building Communities of the Future," Energies, MDPI, vol. 18(7), pages 1-16, April.
    3. Pin-Han Chen & Cheng-Han Lee & Jun-Yi Wu & Wei-Sheng Chen, 2023. "Perspectives on Taiwan’s Pathway to Net-Zero Emissions," Sustainability, MDPI, vol. 15(6), pages 1-11, March.
    4. Tatiana Potapenko & Jessica S. Döhler & Francisco Francisco & George Lavidas & Irina Temiz, 2023. "Renewable Energy Potential for Micro-Grid at Hvide Sande," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    5. Yavari, Mohammad & Bohreghi, Iman Mohammadi, 2025. "Developing a green-resilient power network and supply chain: Integrating renewable and traditional energy sources in the face of disruptions," Applied Energy, Elsevier, vol. 377(PC).
    6. Reveles-Miranda, María & Ramirez-Rivera, Victor & Pacheco-Catalán, Daniella, 2024. "Hybrid energy storage: Features, applications, and ancillary benefits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    7. Qiao, Long & Pu, Wenhao & Wu, Bingwei & Liu, Ruihang & Song, Nanxin, 2024. "Performance study of a supercritical carbon dioxide energy storage system with non-uniform graded compression heat recovery," Energy, Elsevier, vol. 313(C).
    8. Shayan, Mostafa Esmaeili & Najafi, Gholamhassan & Ghobadian, Barat & Gorjian, Shiva & Mamat, Rizalman & Ghazali, Mohd Fairusham, 2022. "Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm," Renewable Energy, Elsevier, vol. 201(P2), pages 179-189.
    9. Zheng, Nan & Zhang, Hanfei & Duan, Liqiang & Wang, Qiushi & Bischi, Aldo & Desideri, Umberto, 2023. "Techno-economic analysis of a novel solar-driven PEMEC-SOFC-based multi-generation system coupled parabolic trough photovoltaic thermal collector and thermal energy storage," Applied Energy, Elsevier, vol. 331(C).
    10. Wang, Chen & Guo, Su & Pei, Huanjin & He, Yi & Liu, Deyou & Li, Mengying, 2023. "Rolling optimization based on holism for the operation strategy of solar tower power plant," Applied Energy, Elsevier, vol. 331(C).
    11. Li, Hongze & Sun, Dongyang & Li, Bingkang & Wang, Xuejie & Zhao, Yihang & Wei, Mengru & Dang, Xiaolu, 2023. "Collaborative optimization of VRB-PS hybrid energy storage system for large-scale wind power grid integration," Energy, Elsevier, vol. 265(C).
    12. Qiujie Sun & Jingyu Zhou & Zhou Lan & Xiangyang Ma, 2023. "The Economic Influence of Energy Storage Construction in the Context of New Power Systems," Sustainability, MDPI, vol. 15(4), pages 1-16, February.
    13. Runquan Xiao & Yanling Xu & Zhen Hou & Chao Chen & Shanben Chen, 2022. "An automatic calibration algorithm for laser vision sensor in robotic autonomous welding system," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1419-1432, June.
    14. Maria Nunez Munoz & Erica E. F. Ballantyne & David A. Stone, 2023. "Assessing the Economic Impact of Introducing Localised PV Solar Energy Generation and Energy Storage for Fleet Electrification," Energies, MDPI, vol. 16(8), pages 1-27, April.
    15. Tee, Wei Hown & Gan, Chin Kim & Sardi, Junainah, 2024. "Benefits of energy storage systems and its potential applications in Malaysia: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    16. Maria Symeonidou & Agis M. Papadopoulos, 2022. "Selection and Dimensioning of Energy Storage Systems for Standalone Communities: A Review," Energies, MDPI, vol. 15(22), pages 1-28, November.
    17. Hongquan Gui & Jialan Liu & Chi Ma & Mengyuan Li, 2024. "Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model," Journal of Intelligent Manufacturing, Springer, vol. 35(3), pages 1173-1196, March.
    18. Anshuman Kumar Sahu & Siba Sankar Mahapatra, 2021. "Prediction and optimization of performance measures in electrical discharge machining using rapid prototyping tool electrodes," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2125-2145, December.
    19. Roham Sadeghi Tabar & Kristina Wärmefjord & Rikard Söderberg & Lars Lindkvist, 2021. "Critical joint identification for efficient sequencing," Journal of Intelligent Manufacturing, Springer, vol. 32(3), pages 769-780, March.
    20. Wen, Du & Aziz, Muhammad, 2024. "Perspective of staged hydrogen economy in Japan: A case study based on the data-driven method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4379-:d:839910. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.