Determining Controllable Process Parameters for a Battery Production System

A method for controlling a battery production system the method comprising:

• taking measurement values of production parameters in the battery production system with a plurality of sensors;
• determining a quality value of a battery cell produced in the battery production system with the measurement values, wherein the quality value is associated with the measurement values;
• transferring the quality value and the measurement values to a computing unit;
• calculating a dependency of the quality value on the measurement values in the computing unit;
• calculating a dependency of the quality value on changed production parameters different in value from the measurement values, in the computing unit by performing a machine learning method;
• determining a controllable process parameter from the changed production parameters with an improved quality value using a parameter optimization for the machine learning method including a Bayesian optimization wherein measurement values with associated quality values are included in the optimization as reference points;
• and
• using the controllable process parameter with an improved quality value in operation of the battery production system.