Sensor Selection and Defect Classification via Machine Learning During the Laser Welding of Busbar Connections for High-Performance Battery Pack Production-Reference-Cited by-同舟云学术

Sensor Selection and Defect Classification via Machine Learning During the Laser Welding of Busbar Connections for High-Performance Battery Pack Production

Published:2024-01-12 Issue:2 Volume:11 Page:329-352
ISSN:2196-7229
Container-title:Lasers in Manufacturing and Materials Processing
language:en
Short-container-title:Lasers Manuf. Mater. Process.

Author:

Caprio Leonardo,Previtali Barbara,Demir Ali Gökhan

Funder

Ministero dell'Università e della Ricerca

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40516-023-00238-1.pdf

Reference34 articles.

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2. Das, A., Li, D., Williams, D., Greenwood, D.: Joining technologies for automotive Battery systems manufacturing. World Electr. Veh. J. 9 (2018). https://doi.org/10.3390/wevj9020022

3. Lee, S.S., Kim, T.H., Hu, S.J., Cai, W.W., Abell, J.A.: Joining technologies for automotive lithium-ion battery manufacturing: A review. Int. Manuf. Sci. Eng. Conf. 49460, 541–549 (2010). https://doi.org/10.1115/MSEC2010-34168

4. Zwicker, M.F.R., Moghadam, M., Zhang, W., Nielsen, C.V.: Automotive Battery pack manufacturing – a review of Battery to tab joining. J. Adv. Join. Processes 1, 100017 (2020). https://doi.org/10.1016/j.jajp.2020.100017

5. Sadeghian, A., Iqbal, N.: A review on dissimilar laser welding of steel-copper, steel-aluminum, aluminum-copper, and steel-nickel for electric vehicle Battery manufacturing. Opt. Laser Technol. 146 (2022). https://doi.org/10.1016/j.optlastec.2021.107595

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