Statistical analysis of the predictors of annual electric vehicle mileage

Sizhuo Du (National Technical University/Kharkiv Polytechnic Institute)
Maxim Paliivets (Russian State Agrarian University, Moscow Timiryazev Agricultural Academy)
Irina Petunina (Federal State Budgetary Educational Institution of Higher Education/Kuban State Agrarian University)

Bulletin of Electrical Engineering and Informatics
Vol 12, No 4: August 2023

This study evaluates the impact of technical and economic factors related to electric vehicles and the impact of socio-demographic factors related to electric vehicle owners on annual electric vehicle mileage from a statistical perspective. The data set was analyzed using regression and correlation analyses using Ms Excel and several Python libraries. The influence of the socio-demographic characteristics of the respondents was estimated as minimal and requiring reassessment. It was shown that among the socio-demographic factors considered, only the age of vehicle owners correlates with the annual mileage of electric vehicles. It is shown that technical and economic parameters are much more closely related to the annual mileage of electric cars than socio-demographic parameters. Significant factors among the technical and economic ones were battery capacity, power consumption of the electric car, and the size of the respondent's locality.