Optimizing and Diversifying the Electric Range of Plug-in Hybrid Electric Vehicles for U.S. Drivers

To provide useful information for automakers to design successful plug-in hybrid electric vehicle (PHEV) products and for energy and environmental analysts to understand the social impact of PHEVs, this paper addresses the question of how many of the U.S. consumers, if buying a PHEV, would prefer what electric ranges. The Market-oriented Optimal Range for PHEV (MOR-PHEV) model is developed to optimize the PHEV electric range for each of 36,664 sampled individuals representing U.S. new vehicle drivers. The optimization objective is the minimization of the sum of costs on battery, gasoline, electricity and refueling hassle. Assuming no battery subsidy, the empirical results suggest that: 1) the optimal PHEV electric range approximates two thirds of one s typical daily driving distance in the near term, defined as $450/kWh battery delivered price and $4/gallon gasoline price. 2) PHEVs are not ready to directly compete with HEVs at today s situation, defined by the $600/kWh battery delivered price and the $3-$4/gallon gasoline price, but can do so in the near term. 3) PHEV10s will be favored by the market over longer-range PHEVs in the near term, but longer-range PHEVs can dominate the PHEV market if gasoline prices reach as high as $5-$6 per gallonmore » and/or battery delivered prices reach as low as $150-$300/kWh. 4) PHEVs can become much more attractive against HEVs in the near term if the electric range can be extended by only 10% with multiple charges per day, possible with improved charging infrastructure or adapted charging behavior. 5) the impact of a $100/kWh decrease in battery delivered prices on the competiveness of PHEVs against HEVs can be offset by about $1.25/gallon decrease in gasoline prices, or about 7/kWh increase in electricity prices. This also means that the impact of a $1/gallon decrease in gasoline prices can be offset by about 5/kWh decrease in electricity prices.« less

[1]  Christian-Simon Ernst,et al.  Battery sizing for serial plug-in hybrid electric vehicles: A model-based economic analysis for Germany , 2011 .

[2]  Kara M. Kockelman,et al.  Evolution of the household vehicle fleet: Anticipating fleet composition, PHEV adoption and GHG emissions in Austin, Texas , 2011 .

[3]  Jonn Axsen,et al.  Are Batteries Ready for Plug-in Hybrid Buyers? , 2009 .

[4]  Jeremy J. Michalek,et al.  Optimal Design and Allocation of Electrified Vehicles and Dedicated Charging Infrastructure for Minimum Greenhouse Gas Emissions , 2011 .

[5]  Zhenhong Lin,et al.  Promoting the Market for Plug-In Hybrid and Battery Electric Vehicles , 2011 .

[6]  Binggang Cao,et al.  Component sizing optimization of plug-in hybrid electric vehicles , 2011 .

[7]  Jeremy J. Michalek,et al.  Impact of Battery Weight and Charging Patterns on the Economic and Environmental Benefits of Plug-in Hybrid Vehicles , 2009 .

[8]  Zhenhong Lin,et al.  PHEV Energy Use Estimation: Validating the Gamma Distribution for Representing the Random Daily Driving Distance , 2012 .

[9]  K. Kurani,et al.  The marketability of electric vehicles: battery performance and consumer demand for driving range , 1996, Proceedings of 11th Annual Battery Conference on Applications and Advances.

[10]  David L. Greene,et al.  Estimating daily vehicle usage distributions and the implications for limited-range vehicles , 1985 .

[11]  Zhenhong Lin,et al.  A Plug-in Hybrid Consumer Choice Model with Detailed Market Segmentation , 2010 .

[12]  Jonn Axsen,et al.  Anticipating plug-in hybrid vehicle energy impacts in California: Constructing consumer-informed recharge profiles , 2010 .

[13]  Zhenhong Lin,et al.  Rethinking FCV/BEV Vehicle Range: A Consumer Value Trade-off Perspective , 2010 .