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Title: The impact of reliable range estimation on battery electric vehicle feasibility

Abstract

Range limitation is a significant obstacle to market acceptance of battery electric vehicles (BEVs). Range anxiety is exacerbated when drivers could not reliably predict the remaining battery range or when their journeys were unexpectedly extended. This paper quantifies the impact of reliable range estimation on BEV feasibility using GPS-tracked travel survey data, collected over an 18-month period (from November 2004 to April 2006) in the Seattle metropolitan area. BEV feasibility is quantified as the number of days when travel adaption is needed if a driver replaces a conventional gasoline vehicle (CGV) with a BEV. The distribution of BEV range is estimated based on the real-world fuel efficiency data. A driver is assumed to choose between using a BEV or a substitute gasoline vehicle, based on the cumulative prospect theory (CPT). BEV is considered feasible for a particular driver if he/she needs to use a substitute vehicle on less than 0.5% of the travel days. By varying the values of some CPT parameter, the percentage of BEV feasible vehicles could change from less than 5% to 25%. Additionally, the numerical results show that with a 50% reduction in the standard deviation and 50% increase in the mean of the BEV rangemore » distribution BEV feasibility increases from less than 5% of the sampled drivers to 30%.« less

Authors:
 [1];  [2];  [3]; ORCiD logo [4];  [1]
  1. Iowa State Univ., Ames, IA (United States)
  2. Lamar Univ., Beaumont, TX (United States)
  3. Walmart Labs, San Bruno, CA (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office
OSTI Identifier:
1657906
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of Sustainable Transportation
Additional Journal Information:
Journal Volume: 14; Journal Issue: 11; Journal ID: ISSN 1556-8318
Publisher:
Taylor & Francis
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS; battery electric vehicles (BEVs); cumulative prospect theory (CPT); daily vehicle miles traveled (DVMT); range anxiety

Citation Formats

Dong, Jing, Wu, Xing, Liu, Changzheng, Lin, Zhenhong, and Hu, Liang. The impact of reliable range estimation on battery electric vehicle feasibility. United States: N. p., 2019. Web. https://doi.org/10.1080/15568318.2019.1639085.
Dong, Jing, Wu, Xing, Liu, Changzheng, Lin, Zhenhong, & Hu, Liang. The impact of reliable range estimation on battery electric vehicle feasibility. United States. https://doi.org/10.1080/15568318.2019.1639085
Dong, Jing, Wu, Xing, Liu, Changzheng, Lin, Zhenhong, and Hu, Liang. Tue . "The impact of reliable range estimation on battery electric vehicle feasibility". United States. https://doi.org/10.1080/15568318.2019.1639085. https://www.osti.gov/servlets/purl/1657906.
@article{osti_1657906,
title = {The impact of reliable range estimation on battery electric vehicle feasibility},
author = {Dong, Jing and Wu, Xing and Liu, Changzheng and Lin, Zhenhong and Hu, Liang},
abstractNote = {Range limitation is a significant obstacle to market acceptance of battery electric vehicles (BEVs). Range anxiety is exacerbated when drivers could not reliably predict the remaining battery range or when their journeys were unexpectedly extended. This paper quantifies the impact of reliable range estimation on BEV feasibility using GPS-tracked travel survey data, collected over an 18-month period (from November 2004 to April 2006) in the Seattle metropolitan area. BEV feasibility is quantified as the number of days when travel adaption is needed if a driver replaces a conventional gasoline vehicle (CGV) with a BEV. The distribution of BEV range is estimated based on the real-world fuel efficiency data. A driver is assumed to choose between using a BEV or a substitute gasoline vehicle, based on the cumulative prospect theory (CPT). BEV is considered feasible for a particular driver if he/she needs to use a substitute vehicle on less than 0.5% of the travel days. By varying the values of some CPT parameter, the percentage of BEV feasible vehicles could change from less than 5% to 25%. Additionally, the numerical results show that with a 50% reduction in the standard deviation and 50% increase in the mean of the BEV range distribution BEV feasibility increases from less than 5% of the sampled drivers to 30%.},
doi = {10.1080/15568318.2019.1639085},
journal = {International Journal of Sustainable Transportation},
number = 11,
volume = 14,
place = {United States},
year = {2019},
month = {11}
}

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