Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Research Papers in E...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Mitigation and Adaptation Strategies for Global Change
Article . 2013 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Levelized costs of conventional and battery electric vehicles in china: Beijing experiences

Authors: Michael Wang; Hewu Wang; Yan Zhou; Han Hao; Han Hao; Minggao Ouyang;

Levelized costs of conventional and battery electric vehicles in china: Beijing experiences

Abstract

Electric vehicles offer the potential to reduce oil consumption, air pollutants, and greenhouse gas (GHG) emissions. To take advantage of electric vehicles and improve its urban environment, Beijing, as one of China’s most polluted cities, launched an electric vehicle promotion program that provided a generous subsidy for consumers who purchased battery electric vehicles (BEVs). In this study, we compare the levelized costs of a conventional vehicle (CV) versus a BEV using real data from the Beijing BEV subsidy program. Levelized cost for this study considers consumer driving patterns and vehicle age. For consumers with average driving profiles—i.e., an average driving distance of around 20 km per trip—the levelized cost of CVs decreases from 1.40 yuan/km for an 8-year vehicle lifetime to 1.04 yuan/km for a 15-year lifetime, while the levelized cost for BEVs decreases from 1.44 yuan/km for an 8-year vehicle lifetime to 1.01 yuan/km for a 15-year lifetime. BEVs are more cost competitive than CVs for consumers with medium and high driving profiles and a 12-year and 15-year lifetime. Under current conditions, the subsidy and tax incentives are necessary to make BEVs cost competitive. However, we project that, even if the subsidy is phased out in 2020, BEVs may become cost competitive with CVs because of the decrease in battery cost. Our study results suggest that the BEV subsidy should reflect changes in battery cost and gasoline prices to help continuing deployment of BEVs.

Related Organizations
Keywords

Levelized cost, Electric vehicle, China, EV Beijing program,

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    33
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%