Alleviating a form of electric vehicle range anxiety through on-demand vehicle access

On-demand vehicle access is a method that can be used to reduce types of range anxiety problems related to planned travel for electric vehicle owners. Using ideas from elementary queueing theory, basic quality of service (QoS) metrics are defined to dimension a shared fleet to ensure high levels of vehicle access. Using mobility data from Ireland, it is argued that the potential cost of such a system is very low.

[1]  J. Biela,et al.  Highly efficient and compact DC-DC converter for ultra-fast charging of electric vehicles , 2012, 2012 15th International Power Electronics and Motion Control Conference (EPE/PEMC).

[2]  Leonard Kleinrock,et al.  Queueing Systems: Volume I-Theory , 1975 .

[3]  Georg Neubauer,et al.  Possible effects of electromagnetic fields (EMF) on human health--opinion of the scientific committee on emerging and newly identified health risks (SCENIHR). , 2008, Toxicology.

[4]  Jonn Axsen,et al.  Batteries for Plug-in Hybrid Electric Vehicles (PHEVs): Goals and the State of Technology circa 2008 , 2008 .

[5]  S. Wittevrongel,et al.  Queueing systems , 2019, Autom..

[6]  Robert Shorten,et al.  Traffic modelling framework for electric vehicles , 2012, Int. J. Control.

[7]  P. T. Krein,et al.  Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles , 2013, IEEE Transactions on Power Electronics.

[8]  Robert Shorten,et al.  Using a Car Sharing Model to Alleviate Electric Vehicle Range Anxiety , 2013 .

[9]  Jamie Davies,et al.  Recharging Behavior of Households' Plug-In Hybrid Electric Vehicles , 2010 .

[10]  Paul Denholm,et al.  Emissions impacts and benefits of plug-in hybrid electric vehicles and vehicle-to-grid services. , 2009, Environmental science & technology.

[11]  Jamie Davies,et al.  Moving from assumption to observation: Implications for energy and emissions impacts of plug-in hybrid electric vehicles , 2013 .

[12]  Jia Yuan Yu,et al.  Nonhomogeneous Place-Dependent Markov Chains, Unsynchronised AIMD, and Network Utility Maximization , 2014, 1404.5064.

[13]  Jay Smith,et al.  Application of Life-Cycle Assessment to Nanoscale Technology: Lithium-ion Batteries for Electric Vehicles , 2013 .

[14]  Thomas S Turrentine,et al.  Consumer Perceptions and Use of Driving Distance of Electric Vehicles , 2012 .

[15]  M. O’Mahony,et al.  Travel to work in Dublin. The potential impacts of electric vehicles on climate change and urban air quality , 2011 .