Estimating the longevity of electric vehicles: what do 300 million MOT test results tell us?
Viet Nguyen-Tien,
Robert J.R. Elliott,
Eric Strobl and
Chengyu Zhang
LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library
Abstract:
Knowing how long the average vehicle remains roadworthy before being scrapped is a crucial input into life cycle assessment (LCA) and total cost of ownership (TCO) studies of different vehicle powertrains. This study leverages a dataset of over 300 million MOT records from 2005 to 2022 for over 30 million vehicles registered in Great Britain and uses parametric survival analysis with interval-censored data to examine the longevity of various powertrains under real usage conditions. Our findings reveal that (plugin) hybrid electric vehicles have the longest expected longevity in terms of years and mileage, both of which are about 50% higher than those of an average fleet vehicle. Battery electric vehicles (BEVs), while initially showing lower reliability, have benefited from rapid technological improvements such that the latest BEVs in our sample match the lifespan of petrol vehicles despite being used more intensively. Longevity is also impacted by engine size, location, and make of vehicle. The results provide parameter estimates that can be used to update TCO and LCA models and also shed light on EV diffusion patterns, fleet replacement strategies, and end-of-life treatment planning, including the increasingly important debate around EV battery recycling and second-life options.
Keywords: electric vehicles; survival analysis; total cost of ownership; life cycle assessment (search for similar items in EconPapers)
JEL-codes: J01 N0 R14 (search for similar items in EconPapers)
Pages: 38 pages
Date: 2024-01-09
References: Add references at CitEc
Citations:
Downloads: (external link)
http://eprints.lse.ac.uk/126759/ Open access version. (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:126759
Access Statistics for this paper
More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().