Analyzing the Influence of Driver, Route and Vehicle-Related Factors in Electric Vehicle Energy Consumption, Based on Real Life Data

Abstract

In electric vehicles context, battery consumption and "range anxiety" are the biggest worries. Different studies have shown that electric vehicle battery consumption depends on many factors and parameters that can be related with the vehicle, the driver or the route. In this paper we will show the impact of those parameters in the energy consumption based on a real life dataset. This dataset contains information about different real life routes completed by an electric vehicle (Volkswagen e-Golf). To see if a parameter affects the energy consumption, we will use different graphics and the statistical ANOVA-test and Welch's test. When parameters are categorical variables, we will see how the energy consumption changes between categories, showing that different values of that parameter imply different value of energy consumption. Continuous variables are going to be analyzed using the pairplot. The results show that using auxiliaries, an aggressive driving style and winter tires increase the consumption. Also, it is an important conclusion how in long routes the energy consumption is more stable than in shorter routes.