Method for evaluating laser welding quality of battery module based on coupling model

被引:4
作者
Liu, Zhengyu [1 ,2 ]
Wang, Keqing [1 ]
He, Huijuan [1 ]
Xie, Juan [1 ]
Huang, Wei [1 ]
机构
[1] Hefei Univ Technol, Sch Mech Engn, Hefei 230009, Peoples R China
[2] Intelligent Mfg Inst HFUT, Hefei 230009, Peoples R China
关键词
Electro-thermal coupling model; Laser welding quality; Battery module; Voltage Euclidean distance; ION BATTERIES; JOINTS;
D O I
10.1016/j.jpowsour.2022.231959
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Since the existing commonly used welding quality detection techniques cannot effectively detect pseudo welding (PW) defects in the laser welding of a battery module, in this study, we first study a one-dimensional heat transfer model of the PW defects of welding spot. Then, we establish an electro-thermal coupling model of a lithium-ion battery (LIB) module. The voltage of the LIB with and without PW is simulated and analyzed. The influence of charge-discharge rates, and geometric shape of welding spot on the battery voltage is discussed in detail. The simulation results show that at the discharge rates of 5 C, 10 C and 15 C, the voltage of PW battery in the discharge stage is about 12 mV, 15 mV and 20 mV lower than that of the normal one respectively. And the effect of the geometric shape of welding spot on the battery voltage is negligible. Based on experimental data of discharge stage, the complete charge-discharge data are calculated using the electro-thermal coupling model, and the voltage Euclidean distance (VED) is proposed. The experimental results prove that the laser welding quality of module can be quickly and accurately detected based on the electro-thermal coupling model and solving the VED.
引用
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页数:12
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共 36 条
  • [1] Application of neural networks in optical inspection and classification of solder joints in surface mount technology
    Acciani, Giuseppe
    Brunetti, Gioacchino
    Fornarelli, Girolamo
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2006, 2 (03) : 200 - 209
  • [2] Long pulse excitation thermographic non-destructive evaluation
    Almond, Darryl P.
    Angioni, Stefano L.
    Pickering, Simon G.
    [J]. NDT & E INTERNATIONAL, 2017, 87 : 7 - 14
  • [3] Numerical investigation on thermal management system for lithium ion battery using phase change material
    Bais, Aditya R.
    Subhedhar, Dattataraya G.
    Joshi, Nishith C.
    Panchal, Satyam
    [J]. MATERIALS TODAY-PROCEEDINGS, 2022, 66 : 1726 - 1733
  • [4] Failure assessment of Mash Seam Weld breakage and development of online weld inspection system for early detection of weld failure
    Bonikila, Pradeep Reddy
    Indimath, Shivanandan S.
    Shajan, Nikhil
    [J]. ENGINEERING FAILURE ANALYSIS, 2022, 133
  • [5] Welding techniques for battery cells and resulting electrical contact resistances
    Brand, Martin J.
    Schmidt, Philipp A.
    Zaeh, Michael F.
    Jossen, Andreas
    [J]. JOURNAL OF ENERGY STORAGE, 2015, 1 (7-14) : 7 - 14
  • [6] A New IC Solder Joint Inspection Method for an Automatic Optical Inspection System Based on an Improved Visual Background Extraction Algorithm
    Cai, Nian
    Lin, Jianfa
    Ye, Qian
    Wang, Han
    Weng, Shaowei
    Ling, Bingo Wing-Kuen
    [J]. IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2016, 6 (01): : 161 - 172
  • [7] Behavior and Mechanism of Void Welding Under Thermal Mechanical Coupling
    Chen, Fei
    Wang, Xitao
    Chen, Huiqin
    Dang, Shue
    [J]. METALS AND MATERIALS INTERNATIONAL, 2022, 28 (07) : 1751 - 1762
  • [8] Soldering defect detection in automatic optical inspection
    Dai, Wenting
    Mujeeb, Abdul
    Erdt, Marius
    Sourin, Alexei
    [J]. ADVANCED ENGINEERING INFORMATICS, 2020, 43
  • [9] [INVITED] An overview of the state of art in laser welding simulation
    Dal, M.
    Fabbro, R.
    [J]. OPTICS AND LASER TECHNOLOGY, 2016, 78 : 2 - 14
  • [10] Modelling and characterisation of ultrasonic joints for Li-ion batteries to evaluate the impact on electrical resistance and temperature raise
    Das, Abhishek
    Ashwin, T. R.
    Barai, Anup
    [J]. JOURNAL OF ENERGY STORAGE, 2019, 22 : 239 - 248