Evaluating Trends in Light-Duty Vehicle Technologies to Project Fuel Economy

Predicting the fuel economy of future light-duty vehicles provides insight into the expected greenhouse gas emissions, oil consumption, and operating costs in the transportation sector. Fuel economy is difficult to directly predict, however, due to the large number of vehicle characteristics that influence fuel economy. These characteristics include curb weight, powertrain efficiency, tire properties, and aerodynamic properties. In addition, the characteristics vary by powertrain technology and vehicle class. This study evaluates past trends and literature projections for each attribute. It then projects fuel economy for three powertrain technologies and eight vehicle classes using current values, past trends, and literature projections for the vehicle characteristics and the Environmental Protection Agency's drive cycles. Fuel economy for internal combustion engine vehicles (ICEVs), hybrid electric vehicles (HEVs), and battery electric vehicles (BEVs) are projected to increase at rates similar to past years. At these rates, average HEVs and BEVs will significantly exceed Corporate Average Fuel Economy standards for 2021 and 2025, and ICEVs will fall significantly short of these standards. This analysis provides an easily adaptable framework to project fuel economy that accounts for the large number of contributing vehicle characteristics.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Adcock, Christiane

Advisor dc:contributor.advisor

• Jessika E. Trancik.

• Mechanical Engineering.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/117803

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/117803