The present battery production process reaches only a low yield rate in the range of 75 to 90 percent. The complete manufacturing process includes 250 single process steps. Many of these process steps are based on the application of laser beams. The application specialist look as of today just on the point of interaction of the laser beam and assume a constant perfect quality of the workpiece. Online monitoring systems usually just monitor the weld area and don't take variations in the process steps before into account. This paper takes the variation of all process steps into account. The quality reached of many production steps, can get analized by photonic based sensors. In order to increase the yield in battery production, the use of photonic based sensors and the use of these results in a closed loop system to react immediately is one of the possibility to avoid scrap in production. Due to the high number of process steps and interaction of each of these steps, the help of artificial intelligence algorithm are required to achieve a positive impact. The paper describes 3 process steps with a closed loop control system including a solution to rework the results of the process.