  With the increasing penetration of electric vehicles (EVs) into the
automotive market, the electricity peak demand would increase significantly due
to home-EV-charging. This paper tackles this problem by defining an 'ideal' EV
consumption profile, from which a day-ahead pricing model is derived. Based on
historical residential EV-use data ranging over a year, we demonstrate that the
proposed optimization process results in a pricing profile that achieves a dual
objective of minimizing the total electricity cost, as well as the peak
aggregate system demand. Importantly, the proposed formulation is simple, and
accounts for the tradeoff between consumer convenience in terms of the number
of available charging slots during a day and the reduction in the total
electricity cost. This technique is demonstrated to be scalable with respect to
the size of the community whose EV charging demands are being optimized.
