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Research on the Welding System of Soft Pack Power Battery Tabs Based on Laser Sensor

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Advanced Machine Learning Technologies and Applications (AMLTA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1339))

Abstract

The soft pack power battery’s lug is prone to welding through and missing welding during the welding process due to its low flatness. A welding track detection system for the soft-pack power battery tabs is designed to solve the soft-pack power battery tabs’ welding difficulties. The system uses a laser sensor to perform non-contact detection on the welding surface of the tab. The system uses a laser sensor to perform non-contact detection on the welding surface of the lug. Then filter the collected data, and perform a non-uniform B-spline curve-fitting on the processed data to generate a welding track curve. Finally, welding the tabs according to the welding track curve can improve the tabs’ welding quality. The experimental results show that the average deviation between the fitted curve and the measured data points is 0.0817 mm, which has a good fitting effect and high calculation accuracy. It can be used on other occasions where this function is needed.

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Correspondence to Kuo-Chi Chang .

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Huang, J., Lin, Z., Wang, Z., Qi, Y., Chang, KC. (2021). Research on the Welding System of Soft Pack Power Battery Tabs Based on Laser Sensor. In: Hassanien, AE., Chang, KC., Mincong, T. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2021. Advances in Intelligent Systems and Computing, vol 1339. Springer, Cham. https://doi.org/10.1007/978-3-030-69717-4_68

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