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Title: Quantitative Evaluation of MD/HD Vehicle Electrification using Statistical Data

Abstract

This paper presents a wide-ranging analysis of Class 3-8 commercial vehicle electrification by means of developing a framework tool which uses a quantitative method of estimating electric vehicle energy consumption and appropriate charging considerations. The Fleet DNA composite statistics on real-world driving behavior is used to evaluate feasible or market-ready battery electric vehicle (BEV) technologies in medium- and heavy-duty (MD/HD) applications. In the paper, ten representative Class 3-8 commercial vehicle electrifications have been evaluated as a function of various service coverages, including applications in port drayage tractors, refuse trucks, delivery trucks, buses, and bucket trucks. The results indicate significant energy savings and fuel cost savings across all MD/HD vehicle electrifications. The majority of MD BEVs, with the exception of Class 3 bucket trucks, achieve better than a 5-year payback with 50–75% service coverage. For HD BEVs, with the exception of the Class 8 port drayage tractors, the 90% service coverage results in a 10-year or longer payback time, while the 50% service coverage yields a 7–8 year payback. Class 8 port drayage tractors should achieve payback in no more than a 3.5 years with 50–75% service coverage. Thus, the analysis indicates a highly feasible potential for Class 3-6 MD vehiclesmore » to be electrified, and feasible opportunities for electrification in Class 7-8 HD short-distance applications.« less

Authors:
 [1];  [1];  [1];  [2]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Energetics Inc., Columbia, MD (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E)
OSTI Identifier:
1474495
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Transportation Research Record
Additional Journal Information:
Journal Volume: 2672; Journal Issue: 24; Journal ID: ISSN 0361-1981
Publisher:
National Academy of Sciences, Engineering and Medicine
Country of Publication:
United States
Language:
English
Subject:
33 ADVANCED PROPULSION SYSTEMS

Citation Formats

Gao, Zhiming, Lin, Zhenhong, Davis, Stacy Cagle, and Birky, Alicia K. Quantitative Evaluation of MD/HD Vehicle Electrification using Statistical Data. United States: N. p., 2018. Web. doi:10.1177/0361198118792329.
Gao, Zhiming, Lin, Zhenhong, Davis, Stacy Cagle, & Birky, Alicia K. Quantitative Evaluation of MD/HD Vehicle Electrification using Statistical Data. United States. doi:10.1177/0361198118792329.
Gao, Zhiming, Lin, Zhenhong, Davis, Stacy Cagle, and Birky, Alicia K. Fri . "Quantitative Evaluation of MD/HD Vehicle Electrification using Statistical Data". United States. doi:10.1177/0361198118792329. https://www.osti.gov/servlets/purl/1474495.
@article{osti_1474495,
title = {Quantitative Evaluation of MD/HD Vehicle Electrification using Statistical Data},
author = {Gao, Zhiming and Lin, Zhenhong and Davis, Stacy Cagle and Birky, Alicia K.},
abstractNote = {This paper presents a wide-ranging analysis of Class 3-8 commercial vehicle electrification by means of developing a framework tool which uses a quantitative method of estimating electric vehicle energy consumption and appropriate charging considerations. The Fleet DNA composite statistics on real-world driving behavior is used to evaluate feasible or market-ready battery electric vehicle (BEV) technologies in medium- and heavy-duty (MD/HD) applications. In the paper, ten representative Class 3-8 commercial vehicle electrifications have been evaluated as a function of various service coverages, including applications in port drayage tractors, refuse trucks, delivery trucks, buses, and bucket trucks. The results indicate significant energy savings and fuel cost savings across all MD/HD vehicle electrifications. The majority of MD BEVs, with the exception of Class 3 bucket trucks, achieve better than a 5-year payback with 50–75% service coverage. For HD BEVs, with the exception of the Class 8 port drayage tractors, the 90% service coverage results in a 10-year or longer payback time, while the 50% service coverage yields a 7–8 year payback. Class 8 port drayage tractors should achieve payback in no more than a 3.5 years with 50–75% service coverage. Thus, the analysis indicates a highly feasible potential for Class 3-6 MD vehicles to be electrified, and feasible opportunities for electrification in Class 7-8 HD short-distance applications.},
doi = {10.1177/0361198118792329},
journal = {Transportation Research Record},
number = 24,
volume = 2672,
place = {United States},
year = {2018},
month = {9}
}

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Works referenced in this record:

Exploring Fuel-Saving Potential of Long-Haul Truck Hybridization
journal, January 2015

  • Gao, Zhiming; LaClair, Tim J.; Smith, David E.
  • Transportation Research Record: Journal of the Transportation Research Board, Vol. 2502, Issue 1
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Drive cycle simulation of high efficiency combustions on fuel economy and exhaust properties in light-duty vehicles
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Battery capacity and recharging needs for electric buses in city transit service
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The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks
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Comparison of Parallel and Series Hybrid Power Trains for Transit Bus Applications
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Simulated Fuel Economy and Emissions Performance during City and Interstate Driving for a Heavy-Duty Hybrid Truck
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