Electric vehicles: How much range is required for a day’s driving?

Abstract One full year of high-resolution driving data from 484 instrumented gasoline vehicles in the US is used to analyze daily driving patterns, and from those infer the range requirements of electric vehicles (EVs). We conservatively assume that EV drivers would not change their current gasoline-fueled driving patterns and that they would charge only once daily, typically at home overnight. Next, the market is segmented into those drivers for whom a limited-range vehicle would meet every day’s range need, and those who could meet their daily range need only if they make adaptations on some days. Adaptations, for example, could mean they have to either recharge during the day, borrow a liquid-fueled vehicle, or save some errands for the subsequent day. From this analysis, with the stated assumptions, we infer the potential market share for limited-range vehicles. For example, we find that 9% of the vehicles in the sample never exceeded 100 miles in one day, and 21% never exceeded 150 miles in one day. These drivers presumably could substitute a limited-range vehicle, like electric vehicles now on the market, for their current gasoline vehicle without any adaptation in their driving at all. For drivers who are willing to make adaptations on 2 days a year, the same 100 mile range EV would meet the needs of 17% of drivers, and if they are willing to adapt every other month (six times a year), it would work for 32% of drivers. Thus, it appears that even modest electric vehicles with today’s limited battery range, if marketed correctly to segments with appropriate driving behavior, comprise a large enough market for substantial vehicle sales. An additional analysis examines driving versus parking by time of day. On the average weekday at 5 pm, only 15% of the vehicles in the sample are on the road; at no time during the year are fewer than 75% of vehicles parked. Also, because the return trip home is widely spread in time, even if all cars plug in and begin charging immediately when they arrive home and park, the increased demand on the electric system is less problematic than prior analyses have suggested.

[1]  Chris Develder,et al.  Optimizing smart energy control strategies for plug-in hybrid electric vehicle charging , 2010, 2010 IEEE/IFIP Network Operations and Management Symposium Workshops.

[2]  Candace K. Chan,et al.  High-performance lithium battery anodes using silicon nanowires. , 2008, Nature nanotechnology.

[3]  Willett Kempton,et al.  Vehicle-to-grid power fundamentals: Calculating capacity and net revenue , 2005 .

[4]  Daniel M. Kammen,et al.  Addendum to 'An innovation and policy agenda for commercially competitive plug-in hybrid electric vehicles' , 2009 .

[5]  Daniel Sperling,et al.  Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey , 1996 .

[6]  Kenneth S Kurani,et al.  HOME RECHARGING AND HOUSEHOLD ELECTRIC VEHICLE MARKET: A NEAR-TERM CONSTRAINTS ANALYSIS , 1992 .

[7]  Randall Guensler,et al.  Analysis of Commute Atlanta Instrumented Vehicle GPS Data: Destination Choice Behavior and Activity Spaces , 2006 .

[8]  Tony Markel,et al.  Using GPS Travel Data to Assess the Real World Driving Energy Use of Plug-In Hybrid Electric Vehicles (PHEVs) , 2007 .

[9]  W. Short,et al.  Evaluation of Utility System Impacts and Benefits of Optimally Dispatched Plug-In Hybrid Electric Vehicles (Revised) , 2006 .

[10]  G. Andersson,et al.  Demand Management of Grid Connected Plug-In Hybrid Electric Vehicles (PHEV) , 2008, 2008 IEEE Energy 2030 Conference.

[11]  Kai M. Zuehlke Impossibility of Transit in Atlanta: GPS-Enabled Revealed-Drive Preferences and Modeled Transit Alternatives for Commute Atlanta Participants , 2007 .

[12]  Thomas S Turrentine LIFESTYLES AND LIFE POLITICS: TOWARDS A GREEN CAR MARKET. , 1994 .

[13]  R. Guensler,et al.  Georgia’s Commute Atlanta Value Pricing Program: Recruitment Methods and Travel Diary Response Rates , 2005 .

[14]  Kenneth S Kurani,et al.  Estimating the early household market for light-duty hydrogen-fuel-cell vehicles and other “Mobile Energy” innovations in California: A constraints analysis ☆ , 2006 .

[15]  Randall Guensler,et al.  Mileage-Based Value Pricing: Phase II Case Study Implications of Commute Atlanta Project , 2009 .

[16]  Randall Guensler,et al.  THE ROLE OF INSTRUMENTED VEHICLE DATA IN , 2002 .

[17]  Tony Markel,et al.  Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory , 2007 .

[18]  Simon Washington,et al.  Development of a Comprehensive Vehicle Instrumentation Package , 1999 .

[19]  Willett Kempton,et al.  Vehicle-to-Grid Power: Battery, Hybrid, and Fuel Cell Vehicles as Resources for Distributed Electric Power in California , 2001 .

[20]  Willett Kempton,et al.  A Test of Vehicle-to-Grid (V2G) for Energy Storage and Frequency Regulation in the PJM , 2009 .

[21]  Thomas S Turrentine,et al.  Driving Plug-In Hybrid Electric Vehicles: Reports from U.S. Drivers of HEVs converted to PHEVs, circa 2006-07 , 2008 .

[22]  Kevin P. Schneider,et al.  Impacts Assessment of Plug-in Hybrid Vehicles on Electric Utilities and Regional US Power Grids: Part 1: Technical Analysis , 2007 .

[23]  윤동희,et al.  IEEE PES General Meeting , 2010, IEEE Power and Energy Magazine.

[24]  Michael C. Caramanis,et al.  Management of electric vehicle charging to mitigate renewable generation intermittency and distribution network congestion , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[25]  Jonn Axsen,et al.  The Early U.S. Market for PHEVs: Anticipating Consumer Awareness, Recharge Potential, Design Priorities and Energy Impacts , 2008 .

[26]  Thomas S Turrentine,et al.  Driving Plug-In Hybrid Electric Vehicles , 2009 .

[27]  Andrew Ford,et al.  The impacts of large scale use of electric vehicles in southern California , 1995 .

[28]  Daniel M. Kammen,et al.  An innovation and policy agenda for commercially competitive plug-in hybrid electric vehicles , 2008 .

[29]  Saifur Rahman,et al.  Challenges of PHEV penetration to the residential distribution network , 2009, 2009 IEEE Power & Energy Society General Meeting.

[30]  Daniel Sperling,et al.  Using Geographic Information Systems to Evaluate Siting and Networks of Hydrogen Stations , 2004 .