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A New Framework for Technology Forecasting: The Case of Li-Ion Batteries for Plug-In Electric Vehicles

Authors :
Inês Azevedo
Erica R.H. Fuchs
Apurba Sakti
Jay Whitacre
Jeremy J. Michalek
Kevin G. Gallagher
Source :
SSRN Electronic Journal.
Publication Year :
2016
Publisher :
Elsevier BV, 2016.

Abstract

There are a large number of accounts about rapidly declining costs of batteries with potentially transformative effects, but these accounts often are not based on detailed design and technical information. Using a method ideally suited for that purpose, we find that when experts are free to assume any battery pack design, a majority of the cost estimates are consistent with the ranges reported in the literature, although the range is notably large. However, we also find that 55% of relevant experts’ component-level cost projections are inconsistent with their total pack-level projections, and 55% of relevant experts’ elicited cost projections are inconsistent with the cost projections generated by putting their design- and process-level assumptions into our PBCM. These results suggest a need for better understanding of the technical assumptions driving popular consensus regarding future costs.

Details

ISSN :
15565068
Database :
OpenAIRE
Journal :
SSRN Electronic Journal
Accession number :
edsair.doi...........c1c9e5f2e44fc068dfbbfa7e47aeb80a