Predictive Quality using the Example of Battery Cell Production

Dossier / Travail , 17 Pages , Note: 1

Economie politique - Autres

Climate change promotes the emergence of new concepts for mobility in order to reduce CO2 emissions and minimize the consumption of fossil fuels. As a result, more and more automotive companies are changing their portfolios from internal combustion engines to electric motors due to legal requirements of the EU. This also means that the energy source of automobiles is changing from diesel or gasoline to electrical energy. Battery cells are needed to store this energy in the car. The battery cells can in turn be used to build battery modules and battery packs. The demand for batteries is increasing worldwide. This also creates new requirements for quality and efficiency. In addition, the degree of digitalization in manufacturing industries, such as car manufacturers, continues to increase. The quality of the batteries can be guaranteed with different methods. One method is predictive quality, which can be used to predict quality in advance. But which process steps in battery cell production benefit from this quality method?

Inhaltsverzeichnis (Table of Contents)

• 1 Introduction
• 2 Theoretical foundations
  • 2.1 Battery cell production
  • 2.2 Quality management
  • 2.3 Predictive Quality
• 3 Battery cell production with predictive quality
  • 3.1 Requirements for a battery system
  • 3.2 Quality planning
  • 3.3 Quality inspection
  • 3.4 Quality control
  • 3.5 Quality assurance
  • 3.6 Evaluation
• 4 Conclusion

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This paper explores the application of predictive quality in battery cell production. The objective is to identify specific process steps in battery cell production that benefit from this quality method and discuss the advantages and challenges associated with its implementation. The paper aims to contribute to understanding the role of predictive quality in ensuring the quality and efficiency of battery cell production.

• The growing demand for batteries and the increasing digitalization in manufacturing industries.
• The importance of quality assurance in battery cell production.
• The concept of predictive quality and its potential benefits.
• The specific process steps in battery cell production that can be enhanced by predictive quality.
• The challenges and considerations for implementing predictive quality in battery cell production.

Zusammenfassung der Kapitel (Chapter Summaries)

The first chapter introduces the context of the paper, highlighting the increasing demand for batteries and the role of quality assurance in battery cell production. Chapter 2 provides a theoretical foundation, discussing battery cell production, quality management, and the concept of predictive quality. It also explores the various types of battery cells and the importance of quality in battery systems for electric vehicles. Chapter 3 delves into the application of predictive quality in battery cell production, focusing on the requirements for battery systems, quality planning, inspection, control, assurance, and evaluation.

Schlüsselwörter (Keywords)

The key terms and focus topics of this paper include battery cell production, predictive quality, quality management, e-mobility, battery systems, digitalization, and manufacturing industries.

• Université: Fresenius University of Applied Sciences Hamburg
• Note: 1
• Auteur: Anonym (Auteur)
• Pages: 17
• N° de catalogue: V1376855
• ISBN (PDF): 9783346914255
• ISBN (Livre): 9783346914262
• Langue: anglais
• mots-clé: Predictive, Quality, battery, cell, production, auto, automobile, industry , industry 4.0, cell production, manufactures, batteries, quality methods, electric, motor