The full inspection of cell weight after injection is a key process in the production of lithium-ion batteries. Its core purpose is to use high-precision weighing to 100% detect and screen out cells with abnormal injection volume, ensuring that the electrolyte content of each cell strictly meets the process standards, thereby ensuring the consistency and safety of battery performance.

Its standard automated workflow includes the following three core steps:

Automatic feeding and weighing: The robotic arm accurately grasps the battery cells that have completed liquid injection and pre sealing from the assembly line, and smoothly places them on the weighing station of the high-precision electronic scale. The device automatically records real-time weight data for each battery cell.

Data comparison and intelligent judgment: The system automatically compares the weight data of the weighed battery cells with the standard weight range preset in the system (this range is set according to the battery cell model and injection process parameters). The system will intelligently determine whether the battery cell is "qualified" (weight within the range) or "unqualified" (weight exceeding the lower or upper limit).

Automatic sorting and diversion: Based on the judgment results, the system instructs the executing mechanism to perform automatic sorting. Qualified products are grasped by robotic arms and flow to the next process (such as chemical transformation). Unqualified products are automatically removed to the abnormal product collection area: low weight usually means insufficient liquid injection, which can easily lead to battery performance failure; If the weight is too high, it may indicate excessive liquid injection or a risk of leakage, posing a safety hazard.

The core value of this process lies in achieving quantification, full inspection, and closed-loop feedback on the effectiveness of the liquid injection process. It not only intercepts defective products during injection, effectively preventing risks such as low battery capacity, high internal resistance, lithium deposition, and swelling caused by inaccurate electrolyte levels, but its statistical data can also optimize the parameters of the injection equipment in reverse, improving the stability and yield of the entire production process.