Battery electric vehicles: Looking behind to move forward

It is getting increasingly crucial for policymakers to acquire reliable price forecasts for battery electric vehicles (BEVs) to make choices and set priorities. Here, we examine the prospects for the wide deployment of BEVs, following an ex-post analysis of their learning rate and an ex-ante forecas...

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Bibliographic Details
Published in:Energy policy 2018-04, Vol.115, p.54-65
Main Author: Safari, M.
Format: Article
Language:English
Subjects:
Alternative fuel vehicles
Batteries
Battery-electric vehicle
Competition
Competitiveness
Deployment
Diffusion coefficient
Diffusion rate
Driving ability
Electric motors
Electric rates
Electric vehicles
Electrification
Electrification cost
Energy policy
Internal combustion
Learning
Learning rate
Mobility
Policy making
Power
Power reliability
Prices
Projections
Prospects
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Summary:It is getting increasingly crucial for policymakers to acquire reliable price forecasts for battery electric vehicles (BEVs) to make choices and set priorities. Here, we examine the prospects for the wide deployment of BEVs, following an ex-post analysis of their learning rate and an ex-ante forecast of their price up to 2040. We make a clear distinction between the mainstream of BEVs and a hypothetical group of BEVs that are technically on a par with internal combustion vehicles (ICVs). To do so, we introduce a new index, in which the driving range and max-speed of a vehicle are coupled together, i.e., the Mobility-Diffusion coefficient. We highlight different shares of battery packs (i.e., 19 ± 1%), and the ensemble of electrification components (e.g., battery pack, electric motor, power electronics), i.e., electrification cost (52 ± 2%), in the price of a BEV. Our price projections suggest that there is no prospect of breakeven between BEVs and ICVs before 2040 for both groups of BEVs, because the current learning rates of 9 ± 2% and 15 ± 1% for the price and electrification costs, respectively, of BEVs. Strong and long-term support from policymakers is required to ensure competitiveness of BEVs with ICVs in the near future. •Learning rate for battery electric vehicles is 9 ± 2%.•Simple index to evaluate the technical competitiveness of battery electric vehicles.•Battery electric vehicles need strong policy support.
ISSN:0301-4215
1873-6777
DOI:10.1016/j.enpol.2017.12.053