Disclosed is a method for calculating an energy consumption amount of a vehicle, in which: a data collecting device installed in a test vehicle that is actually running collects data by measuring, at every predetermined time interval, a speed of the test vehicle, an inclination angle of a road on which the test vehicle runs, and an actual energy consumption amount of the test vehicle; an artificial neural network server determines values of parameters applied to an artificial neural network when an output value, calculated by a learning process using the speed of the test vehicle and the inclination angle of the road on which the test vehicle runs as inputs of the artificial neural network, is within a predetermined error range as compared with the actual energy consumption amount of the test vehicle; and an artificial neural network energy consumption amount calculating device installed in a driving vehicle measures, at every predetermined time interval, a speed of the driving vehicle and an inclination angle of a road on which the driving vehicle runs, and calculates an energy consumption amount of the driving vehicle by using the speed of the driving vehicle and the inclination angle of the road on which the driving vehicle runs as inputs of the artificial neural network and by using the determined values of the parameters received from the artificial neural network server. A method for calculating an energy consumption amount of a vehicle, according to the present invention, can calculate the energy consumption amount of the vehicle more accurately and more flexibly by utilizing an artificial neural network, especially deep learning.
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