Lankwitzer’s state-of-the-art AI-driven platform has transformed lithium battery coating process optimization by integrating real-time data analytics and predictive modeling. The system monitors critical parameters such as slurry viscosity, drying temperature, and coating thickness, ensuring uniform electrode coverage and minimizing defects like cracks or delamination . By leveraging machine learning algorithms, Lankwitzer reduces development cycles by 40%, enabling rapid customization for clients like CATL and BYD.

In 2025, Lankwitzer unveiled its EvoProtect455UV (UE55-0500/7) coating, optimized for extreme climates. This UV-curable solution maintains flexibility at -40°C while delivering dielectric strength of 150kV/mm, making it ideal for 800V high-voltage EV platforms. The coating’s AI-driven edge-coating technology achieves 99.5% coverage on cylindrical cells, eliminating defects and enhancing thermal stability .

The company’s Shanghai R&D center recently partnered with Tsinghua University to develop MXene-based coatings for solid-state batteries. This collaboration aims to reduce thermal conductivity to below 0.01W/m·K, addressing critical challenges in energy density and safety. Pilot testing is scheduled for 2026, marking a significant step toward next-gen battery technologies .