Charging Uncertainty: Real-Time Charging Data and Electric Vehicle Adoption

Omar Isaac Asensio, Elaine Buckberg, Cassandra Cole, Luke Heeney, Christopher Knittel and James H. Stock

No 33342, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Charging infrastructure is critical to electric vehicle (EV) adoption, but for chargers to be most useful, EV drivers need to know in real time where they are and whether they are working and available. We investigate the availability of real-time data from DC fast chargers on six major US Interstates and model the impacts of expanding access to real-time data to all DC fast chargers near highways. On average, between March and August 2024, 32.9% of DC fast charging stations adjacent to those six Interstates provided their real-time status on PlugShare, a major charge-finding app, with gaps of up to 1,308 miles without real-time data. Further, we survey potential car buyers and EV owners and find low credibility of currently-available real-time data. We incorporate this data into a two-sided model of consumer vehicle choice and charging station build-out adapted from Cole et al. (2023). If universal real-time data is accompanied by improved charger uptime and driver confidence in the accuracy of the real-time data, we predict that the EV share of new vehicle sales would grow by 8.0 percentage points in 2030, expanding the EV fleet by 13.2%, and reducing 2030 carbon emissions by 22.5 mmt, versus baseline projections for 2030.

JEL-codes: Q50 R40 (search for similar items in EconPapers)
Date: 2025-01
New Economics Papers: this item is included in nep-ene and nep-tre
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