With the rapid development of new energy vehicles and energy storage industry, the performance and safety of lithium batteries, as core components, directly depend on the chemical purity of key raw materials such as positive and negative electrodes and the accuracy of element ratios. Traditional raw material quality inspection relies on laboratory sampling, which has pain points such as long cycles, narrow coverage, and inability to provide real-time feedback to the production line. The intelligent analysis robot for lithium battery raw materials launched by Yingzhou Technology, with X-ray fluorescence spectroscopy (XRF) technology as its core, integrates artificial intelligence and automation to achieve online, non-destructive, and second level accurate analysis of raw material components, and builds an intelligent defense line for the quality and safety of battery manufacturing.

This robot is designed specifically for the stringent requirements of lithium battery raw materials. Its built-in professional detection mode can accurately analyze the proportion of nickel (Ni), cobalt (Co), and manganese (Mn) in ternary lithium materials (NCM/NCA), as well as the content and valence state of iron (Fe) and phosphorus (P) in lithium iron phosphate (LFP). Through Axon's high-resolution silicon drift detector (SDD) technology, the robot can simultaneously screen for trace impurities such as copper (Cu), aluminum (Al), and sodium (Na) within seconds, with a detection accuracy of up to 0.1%, ensuring that the compatibility of key elements strictly complies with process design and eliminating thermal stability and safety boundary risks caused by compositional deviations from the source.

Beyond single component detection, its intelligent and automated capabilities deeply empower the production process. In the process of raw material storage inspection, robots can quickly "check" each batch of powder raw materials, and AI systems automatically determine whether they are qualified, establishing a digital file of raw material quality. At critical nodes in precursor synthesis and sintering processes, real-time monitoring of elemental changes in intermediate products can provide real-time data support for fine-tuning process parameters, forming a quality control loop. Its fully automatic operation and remote control features support 24-hour uninterrupted operation, seamlessly integrate data with MES system, and achieve a quality control system that is traceable from raw materials to finished products.

Yingzhou Technology (Shanghai) Co., Ltd. is a technology enterprise that focuses on the combination of X-ray fluorescence analysis technology, diffraction analysis technology, and automation technology. It specializes in the research, development, production, and sales of automated testing equipment such as solid waste analysis systems, platinum loading detection systems, online steel separation systems, and core analysis systems.