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Title: Exploring Fuel-Saving Potential of Long-Haul Truck Hybridization

Abstract

We report our comparisons on the simulated fuel economy for parallel, series, and dual-mode hybrid electric long-haul trucks, in addition to a conventional powertrain configuration, powered by a commercial 2010-compliant 15-L diesel engine over a freeway-dominated heavy-duty truck driving cycle. The driving cycle was obtained by measurement during normal driving conditions. The results indicated that both parallel and dual-mode hybrid powertrains were capable of improving fuel economy by 7% to 8%. But there was no significant fuel economy benefit for the series hybrid truck because of internal inefficiencies in energy exchange. When reduced aerodynamic drag and tire rolling resistance were combined with hybridization, there was a synergistic fuel economy benefit for appropriate hybrids that increased the fuel economy benefit to more than 15%. Long-haul hybrid trucks with reduced aerodynamic drag and rolling resistance offered lower peak engine loads, better kinetic energy recovery, and reduced average engine power demand. Therefore, it is expected that hybridization with load reduction technologies offers important potential fuel energy savings for future long-haul trucks.

Authors:
 [1];  [1];  [1];  [1]
  1. 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), Vehicle Technologies Office (EE-3V)
OSTI Identifier:
1265853
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Journal Article
Journal Name:
Transportation Research Record
Additional Journal Information:
Journal Volume: 2502; Journal Issue: 2502; Journal ID: ISSN 0361-1981
Publisher:
National Academy of Sciences, Engineering and Medicine
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 33 ADVANCED PROPULSION SYSTEMS

Citation Formats

Gao, Zhiming, LaClair, Tim J., Smith, David E., and Daw, C. Stuart. Exploring Fuel-Saving Potential of Long-Haul Truck Hybridization. United States: N. p., 2015. Web. doi:10.3141/2502-12.
Gao, Zhiming, LaClair, Tim J., Smith, David E., & Daw, C. Stuart. Exploring Fuel-Saving Potential of Long-Haul Truck Hybridization. United States. doi:10.3141/2502-12.
Gao, Zhiming, LaClair, Tim J., Smith, David E., and Daw, C. Stuart. Thu . "Exploring Fuel-Saving Potential of Long-Haul Truck Hybridization". United States. doi:10.3141/2502-12. https://www.osti.gov/servlets/purl/1265853.
@article{osti_1265853,
title = {Exploring Fuel-Saving Potential of Long-Haul Truck Hybridization},
author = {Gao, Zhiming and LaClair, Tim J. and Smith, David E. and Daw, C. Stuart},
abstractNote = {We report our comparisons on the simulated fuel economy for parallel, series, and dual-mode hybrid electric long-haul trucks, in addition to a conventional powertrain configuration, powered by a commercial 2010-compliant 15-L diesel engine over a freeway-dominated heavy-duty truck driving cycle. The driving cycle was obtained by measurement during normal driving conditions. The results indicated that both parallel and dual-mode hybrid powertrains were capable of improving fuel economy by 7% to 8%. But there was no significant fuel economy benefit for the series hybrid truck because of internal inefficiencies in energy exchange. When reduced aerodynamic drag and tire rolling resistance were combined with hybridization, there was a synergistic fuel economy benefit for appropriate hybrids that increased the fuel economy benefit to more than 15%. Long-haul hybrid trucks with reduced aerodynamic drag and rolling resistance offered lower peak engine loads, better kinetic energy recovery, and reduced average engine power demand. Therefore, it is expected that hybridization with load reduction technologies offers important potential fuel energy savings for future long-haul trucks.},
doi = {10.3141/2502-12},
journal = {Transportation Research Record},
issn = {0361-1981},
number = 2502,
volume = 2502,
place = {United States},
year = {2015},
month = {10}
}