Hybrid & electric vehicle technology and its market feasibility
Name
667627823-MIT.pdf
Description
Full printable version
Size
18.38 MB
Format
Adobe PDF
Checksum (MD5)
ae18fb38696f9e500742d48d75b3bf22
Author(s)
Jeon, Sang Yeob
Advisor(s)
Patrick Hale.
Alternative Title
Hybrid and electric vehicle technology and its market feasibility
HEV technology and its market feasibility
PHEV technology and its market feasibility
EV technology and its market feasibility
Date Issued
2010
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, Hybrid Electric Vehicles (HEV), Plug-In Hybrid Electric Vehicle (PHEV) and Electric Vehicle (EV) technology and their sales forecasts are discussed. First, the current limitations and the future potential of vehicle technology for HEVs, PHEVs, and EVs are investigated. Second, factors that have historically impacted vehicle sales in the United States are examined. The examination focuses on the effect of rising gasoline prices on the U.S. vehicle market for the periods which include three significant events involving gasoline prices: the Iran and Iraq war in 1979, Hurricane Katrina in 2005, and the recession of 2008. Finally, many parts of this thesis deal with sales forecasts of HEVs, PHEVs, and EVs up to 2030. While previous research used the unmodified Bass diffusion model or Generalized Bass model in order to examine the adoption rate of EVs, through using Norton-Bass Model and inserting Generalized Bass Model into Norton-Bass Model, this study seeks to overcome the limitation of Bass diffusion model, which has a fixed saturation level in order to generate more accurate projections.
Description
Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2010.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 79-83).
Subjects
Engineering Systems Division.
System Design and Management Program.
MIT Department
System Design and Management Program.
Massachusetts Institute of Technology. Engineering Systems Division
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