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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM62512
Volume:
10 |
5 |
May 2026
Pages:
1-3
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Mechanical Engineering
Sharadchandra Pawar college of Engg, Otur
Mechanical Engineering
Sharadchandra Pawar college of Engg, Otur
Mechanical Engineering
Sharadchandra Pawar college of Engg, Otur
Mechanical Engineering
Sharadchandra Pawar college of Engg, Otur
The escalating demand for electric vehicles (EVs) and portable electronics has intensified the need for reliable, high-capacity lithium-ion (Li-ion) battery packs. This project focuses on the development of an automated spot-welding system designed to connect 18650 Li-ion cells using sheet metal connectors. Manual welding often suffers from inconsistent joint quality, low productivity, and potential thermal damage to cells. To address these challenges, a three-degree-of-freedom (3-DOF) welding machine was designed and implemented using an Arduino-based microcontroller for precise robotic motion control. The research involved a comprehensive parameter study to optimize the resistance spot welding process. Influencing factors—including electrode tip geometry, welding force, supply voltage, welding time, and the distance between electrodes—were investigated through both 3D Finite Element (FE) simulations and experimental validation. Simulation models analysed critical behaviours such as electric current distribution, temperature gradients, and material deformation to ensure joints remained thermally safe and mechanically robust. Experimental results demonstrated that the automated system provides superior consistency in weld strength and nugget size compared to manual methods. Implementation data indicates that the automated approach can significantly increase production output—rising from 300 to 350 units per month—while reducing variable labour costs and consumable waste. Ultimately, this project establishes a scalable, Industry 4.0-ready solution that enhances the safety, durability, and manufacturing efficiency of Li-ion battery assembly.
KEYWORDS
The development of the CNC Special Purpose Machine (SPM) for lithium-ion battery spot welding represents a significant leap in manufacturing efficiency and product reliability for the electric vehicle (EV) sector. This project successfully addressed the critical bottleneck in battery pack assembly by transitioning from manual, labour-intensive soldering and welding processes to an automated 3-axis CNC system. The study conclusively demonstrated that the implementation of automation not only scales production but also fundamentally improves the electrical and mechanical integrity of the battery connections. A primary achievement of this work was the optimization of welding parameters, including electrode tip geometry, welding force, and current timing, which were validated through both finite element analysis (FEA) in Ansys and physical experimentation. The analysis revealed that manual wire soldering often led to heat generation issues and localized resistance, which negatively impacted battery performance. By adopting CNC-controlled spot welding with copper or nickel strips, the company achieved higher conductivity, leading to faster charging rates and improved discharge performance. Future iterations could explore the integration of Laser Beam Welding (LBW) or Ultrasonic Metal Welding (UMW). While resistance spot welding is cost-effective, LBW offers a more concentrated heat source with smaller spot sizes, which can further reduce the heat-affected zone and prevent potential damage to sensitive battery chemistry. Similarly, UMW is a solid-state process that could eliminate melting altogether, providing excellent bonds for thin foils and multi-layered connectors
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Publication Date
5/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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