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Large-scale automotive battery cell manufacturing: Analyzing strategic and operational effects on manufacturing costs

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  • Duffner, Fabian
  • Mauler, Lukas
  • Wentker, Marc
  • Leker, Jens
  • Winter, Martin

Abstract

Cost-efficient battery cell manufacturing is a topic of intense discussion in both industry and academia, as battery costs are crucial for the market success of electrical vehicles (EVs). Based on forecasted EV growth rates, battery cell manufacturers are investing billions of dollars in new battery cell plants. Whether these billion-dollar investments are economically viable depends on the materialization of forecasted EV growth rates and company-specific competitive market positions. For both, cost-efficient battery cell manufacturing is key for success. To ensure cost-efficient battery cell manufacturing, transparency is necessary regarding overall manufacturing costs, their cost drivers, and the monetary value of potential cost reductions. Driven by these requirements, a cost model for a large-scale battery cell factory is developed. The model relies on the process-based cost modelling technique (PBCM) and includes more than 250 parameters. Based on this cost model, directions are provided, how minimum costs can be achieved reflecting current and future state of technology. Further, it is outlined which process steps and cost elements have the greatest impact on total cost and should thus be focused within future cost reduction activities.

Suggested Citation

  • Duffner, Fabian & Mauler, Lukas & Wentker, Marc & Leker, Jens & Winter, Martin, 2021. "Large-scale automotive battery cell manufacturing: Analyzing strategic and operational effects on manufacturing costs," International Journal of Production Economics, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:proeco:v:232:y:2021:i:c:s0925527320303315
    DOI: 10.1016/j.ijpe.2020.107982
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    1. Verlinden, B. & Duflou, J.R. & Collin, P. & Cattrysse, D., 2008. "Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study," International Journal of Production Economics, Elsevier, vol. 111(2), pages 484-492, February.
    2. Marc Wentker & Matthew Greenwood & Jens Leker, 2019. "A Bottom-Up Approach to Lithium-Ion Battery Cost Modeling with a Focus on Cathode Active Materials," Energies, MDPI, vol. 12(3), pages 1-18, February.
    3. Ben-Arieh, David & Qian, Li, 2003. "Activity-based cost management for design and development stage," International Journal of Production Economics, Elsevier, vol. 83(2), pages 169-183, February.
    4. Sakti, Apurba & Azevedo, Inês M.L. & Fuchs, Erica R.H. & Michalek, Jeremy J. & Gallagher, Kevin G. & Whitacre, Jay F., 2017. "Consistency and robustness of forecasting for emerging technologies: The case of Li-ion batteries for electric vehicles," Energy Policy, Elsevier, vol. 106(C), pages 415-426.
    5. Duffner, F. & Wentker, M. & Greenwood, M. & Leker, J., 2020. "Battery cost modeling: A review and directions for future research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    6. Wu, Geng & Inderbitzin, Alessandro & Bening, Catharina, 2015. "Total cost of ownership of electric vehicles compared to conventional vehicles: A probabilistic analysis and projection across market segments," Energy Policy, Elsevier, vol. 80(C), pages 196-214.
    7. Qian, Li & Ben-Arieh, David, 2008. "Parametric cost estimation based on activity-based costing: A case study for design and development of rotational parts," International Journal of Production Economics, Elsevier, vol. 113(2), pages 805-818, June.
    8. Wang, Qing, 2007. "Artificial neural networks as cost engineering methods in a collaborative manufacturing environment," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 53-64, September.
    9. H'mida, Fehmi & Martin, Patrick & Vernadat, Francois, 2006. "Cost estimation in mechanical production: The Cost Entity approach applied to integrated product engineering," International Journal of Production Economics, Elsevier, vol. 103(1), pages 17-35, September.
    10. Johnson, Michael D. & Kirchain, Randolph E., 2009. "Quantifying the effects of product family decisions on material selection: A process-based costing approach," International Journal of Production Economics, Elsevier, vol. 120(2), pages 653-668, August.
    11. Schulze, Manuel & Seuring, Stefan & Ewering, Christian, 2012. "Applying activity-based costing in a supply chain environment," International Journal of Production Economics, Elsevier, vol. 135(2), pages 716-725.
    12. Richard Schmuch & Ralf Wagner & Gerhard Hörpel & Tobias Placke & Martin Winter, 2018. "Performance and cost of materials for lithium-based rechargeable automotive batteries," Nature Energy, Nature, vol. 3(4), pages 267-278, April.
    13. Nadeau, Marie-Claude & Kar, Ashish & Roth, Richard & Kirchain, Randolph, 2010. "A dynamic process-based cost modeling approach to understand learning effects in manufacturing," International Journal of Production Economics, Elsevier, vol. 128(1), pages 223-234, November.
    14. Sierzchula, William & Bakker, Sjoerd & Maat, Kees & van Wee, Bert, 2014. "The influence of financial incentives and other socio-economic factors on electric vehicle adoption," Energy Policy, Elsevier, vol. 68(C), pages 183-194.
    15. Johnson, Michael & Kirchain, Randolph, 2009. "Quantifying the effects of parts consolidation and development costs on material selection decisions: A process-based costing approach," International Journal of Production Economics, Elsevier, vol. 119(1), pages 174-186, May.
    16. Farooq, M. Arsalan & Roth, Richard & Kirchain, Randolph, 2018. "Lightweighting technologies: Analyzing strategic and economic implications of advanced manufacturing processes," International Journal of Production Economics, Elsevier, vol. 206(C), pages 268-279.
    17. Cavalieri, Sergio & Maccarrone, Paolo & Pinto, Roberto, 2004. "Parametric vs. neural network models for the estimation of production costs: A case study in the automotive industry," International Journal of Production Economics, Elsevier, vol. 91(2), pages 165-177, September.
    18. Arno Kwade & Wolfgang Haselrieder & Ruben Leithoff & Armin Modlinger & Franz Dietrich & Klaus Droeder, 2018. "Current status and challenges for automotive battery production technologies," Nature Energy, Nature, vol. 3(4), pages 290-300, April.
    19. Tan, P. & Jiang, H.R. & Zhu, X.B. & An, L. & Jung, C.Y. & Wu, M.C. & Shi, L. & Shyy, W. & Zhao, T.S., 2017. "Advances and challenges in lithium-air batteries," Applied Energy, Elsevier, vol. 204(C), pages 780-806.
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