IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v232y2021ics0925527320303315.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527320303315
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2020.107982?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexander Barke & Walter Cistjakov & Dominik Steckermeier & Christian Thies & Jan‐Linus Popien & Peter Michalowski & Sofia Pinheiro Melo & Felipe Cerdas & Christoph Herrmann & Ulrike Krewer & Arno Kwa, 2023. "Green batteries for clean skies: Sustainability assessment of lithium‐sulfur all‐solid‐state batteries for electric aircraft," Journal of Industrial Ecology, Yale University, vol. 27(3), pages 795-810, June.
    2. Xu, Jie & Huang, Yuping, 2022. "The short-term optimal resource allocation approach for electric vehicles and V2G service stations," Applied Energy, Elsevier, vol. 319(C).
    3. Ruben Leithoff & Arian Fröhlich & Steffen Masuch & Gabriela Ventura Silva & Klaus Dröder, 2022. "Process-Product Interdependencies in Lamination of Electrodes and Separators for Lithium-Ion Batteries," Energies, MDPI, vol. 15(7), pages 1-17, April.
    4. Hunt, Julian David & Nascimento, Andreas & Nascimento, Nazem & Vieira, Lara Werncke & Romero, Oldrich Joel, 2022. "Possible pathways for oil and gas companies in a sustainable future: From the perspective of a hydrogen economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    5. Mauler, Lukas & Duffner, Fabian & Leker, Jens, 2021. "Economies of scale in battery cell manufacturing: The impact of material and process innovations," Applied Energy, Elsevier, vol. 286(C).
    6. Perčić, Maja & Frković, Lovro & Pukšec, Tomislav & Ćosić, Boris & Li, Oi Lun & Vladimir, Nikola, 2022. "Life-cycle assessment and life-cycle cost assessment of power batteries for all-electric vessels for short-sea navigation," Energy, Elsevier, vol. 251(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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.
    3. Bodendorf, Frank & Xie, Qiao & Merkl, Philipp & Franke, Jörg, 2022. "A multi-perspective approach to support collaborative cost management in supplier-buyer dyads," International Journal of Production Economics, Elsevier, vol. 245(C).
    4. 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.
    5. Yang, Chen, 2022. "Running battery electric vehicles with extended range: Coupling cost and energy analysis," Applied Energy, Elsevier, vol. 306(PB).
    6. Chou, Jui-Sheng & Tai, Yian & Chang, Lian-Ji, 2010. "Predicting the development cost of TFT-LCD manufacturing equipment with artificial intelligence models," International Journal of Production Economics, Elsevier, vol. 128(1), pages 339-350, November.
    7. Mauler, Lukas & Duffner, Fabian & Leker, Jens, 2021. "Economies of scale in battery cell manufacturing: The impact of material and process innovations," Applied Energy, Elsevier, vol. 286(C).
    8. Dae-Seon Hong & Yeon-Ji Choi & Chang-Su Jin & Kyoung-Hee Shin & Woo-Jin Song & Sun-Hwa Yeon, 2023. "Enhanced Cycle Performance of NiCo 2 O 4 /CNTs Composites in Lithium-Air Batteries," Energies, MDPI, vol. 17(1), pages 1-14, December.
    9. Gnann, Till & Stephens, Thomas S. & Lin, Zhenhong & Plötz, Patrick & Liu, Changzheng & Brokate, Jens, 2018. "What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 158-164.
    10. Deng, S. & Yeh, Tsung-Han, 2011. "Using least squares support vector machines for the airframe structures manufacturing cost estimation," International Journal of Production Economics, Elsevier, vol. 131(2), pages 701-708, June.
    11. Entwistle, Jake & Ge, Ruihuan & Pardikar, Kunal & Smith, Rachel & Cumming, Denis, 2022. "Carbon binder domain networks and electrical conductivity in lithium-ion battery electrodes: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    12. Schwab, Julia & Sölch, Christian & Zöttl, Gregor, 2022. "Electric Vehicle Cost in 2035: The impact of market penetration and charging strategies," Energy Economics, Elsevier, vol. 114(C).
    13. Askarany, Davood & Yazdifar, Hassan, 2012. "An investigation into the mixed reported adoption rates for ABC: Evidence from Australia, New Zealand and the UK," International Journal of Production Economics, Elsevier, vol. 135(1), pages 430-439.
    14. Makena Coffman & Paul Bernstein & Sherilyn Wee, 2017. "Electric vehicles revisited: a review of factors that affect adoption," Transport Reviews, Taylor & Francis Journals, vol. 37(1), pages 79-93, January.
    15. Antonio Armillotta, 2021. "On the role of complexity in machining time estimation," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2281-2299, December.
    16. Jacek Paś, 2023. "Issues Related to Power Supply Reliability in Integrated Electronic Security Systems Operated in Buildings and Vast Areas," Energies, MDPI, vol. 16(8), pages 1-22, April.
    17. Say, Kelvin & Csereklyei, Zsuzsanna & Brown, Felix Gabriel & Wang, Changlong, 2023. "The economics of public transport electrification: A case study from Victoria, Australia," Energy Economics, Elsevier, vol. 120(C).
    18. Jonathan Oesterle & Lionel Amodeo & Farouk Yalaoui, 2019. "A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1021-1046, March.
    19. Burra, Lavan T. & Sommer, Stephan & Vance, Colin, 2023. "Free-Ridership in Subsidies for Company- and Private Electric Vehicles," Ruhr Economic Papers 1015, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    20. Lopez, Neil Stephen & Tria, Lew Andrew & Tayo, Leo Allen & Cruzate, Rovinna Janel & Oppus, Carlos & Cabacungan, Paul & Isla, Igmedio & Ansay, Arjun & Garcia, Teodinis & Cabarrubias-Dela Cruz, Kevien &, 2021. "Societal cost-benefit analysis of electric vehicles in the Philippines with the inclusion of impacts to balance of payments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:232:y:2021:i:c:s0925527320303315. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.