Optimizing and Diversifying Electric Vehicle Driving Range for U.S. Drivers

Lin, Zhenhong

doi:10.1287/trsc.2013.0516

Title: Optimizing and Diversifying Electric Vehicle Driving Range for U.S. Drivers

Journal Article · Mon Aug 11 00:00:00 EDT 2014 · Transportation Science

DOI:https://doi.org/10.1287/trsc.2013.0516· OSTI ID:1150369

Lin, Zhenhong ^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Properly determining the driving range is critical for accurately predicting the sales and social benefits of battery electric vehicles (BEVs). This study proposes a framework for optimizing the driving range by minimizing the sum of battery price, electricity cost, and range limitation cost referred to as the "range-related cost" as a measurement of range anxiety. The objective function is linked to policy-relevant parameters, including battery cost and price markup, battery utilization, charging infrastructure availability, vehicle efficiency, electricity and gasoline prices, household vehicle ownership, daily driving patterns, discount rate, and perceived vehicle lifetime. Qualitative discussion of the framework and its empirical application to a sample (N=36664) representing new car drivers in the United States is included. The quantitative results strongly suggest that ranges of less than 100 miles are likely to be more popular in the BEV market for a long period of time. The average optimal range among U.S. drivers is found to be largely inelastic. Still, battery cost reduction significantly drives BEV demand toward longer ranges, whereas improvement in the charging infrastructure is found to significantly drive BEV demand toward shorter ranges. In conclusion, the bias of a single-range assumption and the effects of range optimization and diversification in reducing such biases are both found to be significant.

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Research Organization:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1150369

Journal Information:: Transportation Science, Vol. 48, Issue 4; ISSN 0041-1655

Publisher:: INFORMSCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 58 works

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Traffic equilibrium with a continuously distributed bound on travel weights: the rise of range anxiety and mental account Xie, Chi; Wu, Xing; Boyles, Stephen Annals of Operations Research, Vol. 273, Issue 1-2 https://doi.org/10.1007/s10479-018-2990-0	journal	August 2018
The impact of reliable range estimation on battery electric vehicle feasibility Dong, Jing; Wu, Xing; Liu, Changzheng International Journal of Sustainable Transportation, Vol. 14, Issue 11 https://doi.org/10.1080/15568318.2019.1639085	journal	November 2019
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Empirical Fuel Consumption and CO ₂ Emissions of Plug-In Hybrid Electric Vehicles: Fuel Consumption of Plug-In Hybrid Electric Vehicles Plötz, Patrick; Funke, Simon Árpád; Jochem, Patrick Journal of Industrial Ecology, Vol. 22, Issue 4 https://doi.org/10.1111/jiec.12623	journal	July 2017
Transport electrification: the effect of recent battery cost reduction on future emission scenarios Edelenbosch, O. Y.; Hof, A. F.; Nykvist, B. Climatic Change, Vol. 151, Issue 2 https://doi.org/10.1007/s10584-018-2250-y	journal	September 2018
Interaction of consumer preferences and climate policies in the global transition to low-carbon vehicles McCollum, David L.; Wilson, Charlie; Bevione, Michela Nature Energy, Vol. 3, Issue 8 https://doi.org/10.1038/s41560-018-0195-z	journal	July 2018
Empirical Fuel Consumption and CO₂ Emissions of Plug-In Hybrid Electric Vehicles Plötz, Patrick; Funke, Simon Árpád; Jochem, Patrick E. P. Karlsruhe https://doi.org/10.5445/ir/1000072980	text	January 2017

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