• Corpus ID: 197409048

EVS 26 Los Angeles , California , May 6-9 , 2012 Exploring the Paths to One Million Plug-in Electric Vehicles by 2015 Using MA 3 T Model

@inproceedings{Dong2018EVS2L,
  title={EVS 26 Los Angeles , California , May 6-9 , 2012 Exploring the Paths to One Million Plug-in Electric Vehicles by 2015 Using MA 3 T Model},
  author={Jing Dong and Zhenhong Lin},
  year={2018}
}
The U.S. government’s goal, announced in 2011, of putting one million PEVs on the road by 2015 represents a key milestone for the deployment of PEVs in the U.S. However, the forecasts of PEV consumer adoption are not as optimistic as manufacturers’ announced production claims. With an overarching objective of exploring alternative paths towards one-million PEVs on the road in the U.S. by 2015, this paper presents a number of possible strategies and evaluates their impacts on PEV market share. 

Figures from this paper

References

SHOWING 1-7 OF 7 REFERENCES

A Plug-in Hybrid Consumer Choice Model with Detailed Market Segmentation

This paper develops a consumer choice model to project U.S. demand for plug-in hybrid vehicles (PHEV) in competition among 26 light-duty vehicle technologies over the period 2005-2050. New car buyers

Who Will More Likely Buy PHEV: A Detailed Market Segmentation Analysis

Understanding the diverse PHEV purchase behaviors among prospective new car buyers is key for designing efficient and effective policies for promoting new energy vehicle technologies. The ORNL MA3T

Promoting the Market for Plug-In Hybrid and Battery Electric Vehicles

Much recent attention has been drawn to providing adequate recharge availability as a means to promote the battery electric vehicle (BEV) and plug-in hybrid electric vehicle (PHEV) market. The

Potential of Plug-In Hybrid Electric Vehicles to Reduce Petroleum Use

This paper delineates the various issues involved in developing reliable estimates of the petroleum use reduction that would result from the widespread introduction of plug-in hybrid electric

PHEV Energy Use Estimation: Validating the Gamma Distribution for Representing the Random Daily Driving Distance

  • Transportation Research Record,
  • 2012