Efficiency Comparison of Various Important Established Digital Short Signature Schemes Based on Bilinear Pairings

ABSTRACT Future success of Electric Vehicles depends mainly on the costs of charging the EV and their capabilities of charging without any interruptions to the traditional electricity distribution grids. To reduce the costs of charging and to charge the electric vehicles at the planed sessions one has to know the process of time varying charging power which is very important in calculating the cost of charging an electric vehicle. This process is called charging profile of an electric vehicle. These charging profiles for an Ather S340 plug in electric vehicle has been documented with all the required details. This information is used together with the historical and present BESCOM electricity rates, to find the cost of EV for 2017 and 2018, and the savings are tabulated. The charging is done throughout the night from 10:00 PM to 6:00 AM (next day), along with the condition that empty battery at 10:00 PM. In the first stage the charging is started at 10:00 PM, In the next stage by making a smaller change with the references from the various research papers, the charging is done at exactly 1:00 AM, and the results are taken. This is done using the COMSOL simulation software. The change in the timings is giving us the total reduced cost of charging an electric vehicle up to 7%-8% roughly for a year. Further the cost of charging is made to come down additionally using the dynamic programming algorithm model with SCILAB codes. By doing so, at least 25% more Indian electric vehicles can be charged by the present electricity grids, without producing more electricity and without even creating more load on the national, local, industrial and commercial grids. Keywords: Electric Vehicles, Optimization, Charging sessions, BESCOM tariffs, Ather “S340”, simulation, Dynamic Programming.