Determining Controllable Process Parameters for a Battery Production System
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United States of America
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Feb 13, 2025
app pub date -
Oct 28, 2022
filing date -
Oct 28, 2022
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Abstract
Various embodiments of the teachings herein include a method for controlling a battery production system. An example includes: measuring production parameters with a plurality of sensors; determining a quality value of a battery cell with the measurement values; calculating a dependency of the quality value on the measurement values with a computing unit; calculating a dependency of the quality value on changed production parameters by performing a machine learning method; determining a controllable process parameter 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.
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