Developing a concept for the implementation of predictive quality in battery production

Procedia CIRP, vol. 126, pp. 823–828

Abstract

The supply of batteries plays a crucial role in the electrification of the automotive industry and thereby in reducing CO2 emissions. With strict regulations forcing the ban of internal combustion engines and the reduction of emissions, the demand for batteries has risen drastically. In current battery productions, planned production volumes are in most cases not reached due to high scrap rates. Reasons for this lay in the lack of predictability of product quality due to process complexity and interdependencies both on the process level and on the parameter level. The reduction of scrap through data-driven methods in battery production offers the potential to increase production volumes addressing the global demand and to preserve energy and materials. Tackling the challenge of high scrap rates, existing and conventional methods in quality management lack the applicability in complex processes and the predictability of product quality. Predictive quality describes an industry 4.0 application and the approach to use production data to predict process and product related quality characteristics. In this paper, a concept for the technical implementation of predictive quality in battery production is developed. For this, an overarching concept is outlined and based on this the technical infrastructure described. The concept highlights the required data collection as well as data processing and addresses the development of prediction models. By applying the developed concept, the deployment of quality prediction models and the detection and compensation of scrap at an early stage is enabled.

Authors 6

1. Achim Kampker Aachen Chair of Production Engineering of E-Mobility Components (PEM)

   RWTH Aachen University

   Affiliation as printed

   Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen University, Aachen, Germany

2. Heiner Hans Heimes Aachen Chair of Production Engineering of E-Mobility Components (PEM)

   RWTH Aachen University

   Affiliation as printed

   Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen University, Aachen, Germany

3. Paul Lingohr corresponding Aachen Chair of Production Engineering of E-Mobility Components (PEM)

   RWTH Aachen University

   Affiliation as printed

   Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen University, Aachen, Germany

4. Jessica Schmied Aachen Chair of Production Engineering of E-Mobility Components (PEM)

   RWTH Aachen University

   Affiliation as printed

   Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen University, Aachen, Germany

5. Henning Clever Aachen Chair of Production Engineering of E-Mobility Components (PEM)

   RWTH Aachen University

   Affiliation as printed

   Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen University, Aachen, Germany

6. Benjamin Dorn Aachen Chair of Production Engineering of E-Mobility Components (PEM)

   RWTH Aachen University

   Affiliation as printed

   Chair of Production Engineering of E-Mobility Components (PEM) of RWTH Aachen University, Aachen, Germany