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  4. Cost Model for the Footprint Planning of Production Environments in Lithium‐Ion Battery Production
 
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March 13, 2025
Journal Article
Title

Cost Model for the Footprint Planning of Production Environments in Lithium‐Ion Battery Production

Abstract
The growing demand for lithium‐ion batteries necessitates detailed cost models to assess the production costs and enhance the economic viability of battery‐powered applications. In light of the energy‐consuming production environments, accurate footprint calculation enables the uncovering of inefficiencies, contributing to minimizing the environmental and economic impacts. This work presents a footprint modeling approach for a large‐scale lithium‐ion battery production. An existing cost model is extended to incorporate a process‐based footprint calculation. The model includes data from expert interviews and supplier quotations, covering parameters for dry rooms operating at varying dew points, clean rooms, and inert gas microenvironments. This allows for a comprehensive calculation of the full costs and the energy consumption associated with different production environments. A case study shows that high‐capacity cathode active materials like NMC811 can reduce overall cell costs despite requiring a more stringent moisture control in production. The study reveals that the dry room is the primary energy consumer and that utilizing inert gas microenvironments can lower the energy consumption, although accompanied by higher full costs. Moreover, an impact analysis of the buffer storage sizes and energy prices indicates minor effects on the full costs of the cells but significant operational savings for the cell manufacturer.
Author(s)
Lechner, Maximilian
Technische UniversitƤt München, Institut für Werkzeugmaschinen und Betriebswissenschaften (iwb)
Nanz, Felix
Technische UniversitƤt München, Institut für Werkzeugmaschinen und Betriebswissenschaften (iwb)
Keilhofer, Josef
Technische UniversitƤt München, Institut für Werkzeugmaschinen und Betriebswissenschaften (iwb)
Kollenda, Anna
Daub, Rüdiger  
Technische UniversitƤt München, Institut für Werkzeugmaschinen und Betriebswissenschaften (iwb)
Journal
Energy technology  
Project(s)
Intelligentes Mischen und Trocknen  
TUM-Batterie-Exzellenzzentrum  
Funder
Bundesministerium für Bildung und Forschung -BMBF-  
Bundesministerium für Bildung und Forschung -BMBF-  
Open Access
File(s)
Download (917.53 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1002/ente.202402311
10.24406/publica-4584
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Fraunhofer Group
Fraunhofer-Verbund Produktion  
Keyword(s)
  • cost modeling

  • lithium-ion batteries

  • buffer storage <computer science>

  • cellular manufacturing

  • cost effectiveness

  • dry room operation

  • moisture sensitivity

  • nickel-rich cathode active materials

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