IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v5y2017i3p46-d112240.html
   My bibliography  Save this article

The Catastrophe of Electric Vehicle Sales

Author

Listed:
  • Timothy Sands

    (Department of Mechanical Engineering, Stanford University, 496 Lomita Mall, Stanford, CA 94305, USA)

Abstract

Electric vehicles have undergone a recent faddy trend in the United States and Europe, and several recent publications trumpet the continued rise of electric vehicles citing steadily-climbing monthly vehicle sales. The broad purpose of this study is to examine this optimism with some degree of mathematical rigor. Specifically, the methodology will use catastrophe theory to explore the possibility of a sudden, seemingly-unexplainable crash in vehicle sales. The study begins by defining optimal system equations that well-model the available sales data. Next, these optimal models are used to investigate the potential response to a slow dynamic acting on the relatively faster dynamic of the optimal system equations. Catastrophe theory indicates a potential sudden crash in sales when a slow dynamic is at-work. It is noteworthy that the prediction can be made even while sales are increasing.

Suggested Citation

  • Timothy Sands, 2017. "The Catastrophe of Electric Vehicle Sales," Mathematics, MDPI, vol. 5(3), pages 1-7, September.
  • Handle: RePEc:gam:jmathe:v:5:y:2017:i:3:p:46-:d:112240
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/5/3/46/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/5/3/46/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:5:y:2017:i:3:p:46-:d:112240. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.