Secondary Battery  Applications

Since their commercialization in 1991, lithium-ion batteries (LIBs) have become the leading energy storage technology, offering high energy density, high power capability, long lifespan, and low self-discharge. Nevertheless, conventional LIBs face persistent challenges in performance and manufacturing, including electrode defects, material limitations, and capacity constraints. To address these issues, our research applies advanced laser processing—ranging from electrode cutting to reduce tool-related defects, to 3D laser structuring that enhances Li-ion diffusion, and laser-induced groove design to suppress lithium dendrite growth. Furthermore, we are extending laser processing to next-generation silicon-based anodes, including coatings, composites, and pure silicon, in order to achieve precise shaping, minimize defects, and accelerate their commercialization for high-capacity batteries.

We are developing laser processing techniques applicable to next-generation batteries—such as lithium metal, silicon-based, and zinc systems—demonstrating at the lab scale how laser-aided manufacturing can enhance performance and confirm its advantages for future commercialization.

Lithium-ion battery manufacturing demands reliable joining of dissimilar metals such as Cu, Al, Ni, and steel, as joining quality directly impacts both performance and lifetime. Conventional techniques face limitations due to material incompatibilities, while laser welding has emerged as a cost-effective and precise alternative. Our research focuses on laser welding of battery cases, tabs, and Cu–Al joints, aiming to minimize defects such as porosity, voids, and spatter to ensure stable, high-performance battery assemblies.

Laser–electrode interaction involves tightly coupled optical, thermal, mechanical, and electrochemical phenomena. Laser irradiation induces localized heating and microstructural changes that directly affect conductivity, ion transport, and electrode performance. A multiphysical framework is crucial for predicting these effects and optimizing electrode design for advanced energy storage systems.