Seasonal Variation of Electric Vehicles Autonomy: Application to AC/DC Dual Voltage Operation

Carlos Armenta-Deu; M. Hanako Olmedilla-Ishishi

doi:10.37591/joma.v7i3.4489

Abstract

In this work, a study to predict battery performance and autonomy for a dual type of electric engine, 480 VAC and 360 VDC, has been developed. The study has been conducted in vehicles of mass between 1000 and 3000 kg with battery capacity in the range of 40 to 100 kWh. The process has been simulated using reference values and modeled for specific driving conditions. The simulation has been developed for a daily cycle in urban routes and includes five different steps, normal running at constant speed, acceleration, deceleration, ascending and descending road. The paper studies the energy use by the engine and auxiliary systems of an electric vehicle, with especial attention to the seasonal distribution of energy consumption of the latter ones. Linear relations have been developed to determine the energy use and engine power demand as well as charge, current and power drained from the battery as a function of the mass of the vehicle. The obtained algorithms have demonstrated a very good regression coefficient, better than 99.5%, proving the validity of the method. The predicted values from the simulation are in very good agreement with reference values from car manufacturers, within 96% of accuracy.

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