Abstract
Environmental concerns and energy issues led to the mass transitional effort in automotive industry. Internal Combustion Engine (ICE) Vehicles are being replaced with Electric Vehicle (EV) as the prime source of transportation. The issues of air pollution in urban area, approximately 21% Green House Gases emission from ICE, depletion of fossil fuels and increasing in prices significantly amplified interest on EV. An accurate mathematical model of EV in terms of Power handling capacity, Mileage, Battery State-of-Charge (SOC), Integrating time, Level of charging etc. need to be generated in order to do complex analysis on EV grid integration and energy management studies. Moreover, the knowledge of energy demand of EV is essential for daily/hourly dispatch/schedule of energy delivery into the distribution grid. So this work aims at bringing out an accurate mathematical model of electric vehicle which eliminates the chances of even the slightest possible errors in the expected outcome, after the assessment of each EVs which are coming for grid integration. The mathematical model is created by based on energy consumption and the derived mathematical model can be referred for Grid-to-Vehicle (G2V) in power system studies. The current SOC available and the energy required by EV for a whole day are mathematically modeled. Later, the model is called into data of a few currently available EVs taking into information such as average energy consumption per KM by EV, time of charging/number of EV, available electric range of EV and different types of EV in road urban highway etc.. An algorithm is developed for EV energy based on the All Electric Range (AER) and Energy Demand by EV is developed for observing the behavior of EVs under different operating conditions. Later, the conclusions were made on the obtained results.
Published Version
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