Abstract
This paper focuses on the statistical evaluation of various operating characteristics of electric buses. The data obtained for statistical evaluation come from practice. In this paper, we focus on electricity consumption—an important aspect of electric bus operation. The ambient temperature significantly affects electricity consumption. In this paper, we use applied mathematics—correlation analysis, we accurately identify the effect of temperature on the consumption of the electric bus. Our next goal was to define the relationship between the loss of energy from the battery and driving power. We used regression analysis to describe this relation. Our article also includes an example of the practical use of ANOVA analysis in identifying a statistically significant effect of a particular vehicle on average consumption. We also show results from previous research and compare two different types of electric buses in operation.
Highlights
The general interest in electromobility has increased significantly
This paper focuses on the statistical evaluation of various operating characteristics of electric buses
14,888 data records remained available for the analysis of 18 electric buses
Summary
People connect electromobility with individual transport, mostly with car transport [1,2] In the future, this probably will change other sectors. It is the battery that is an essential part of such a vehicle [16,17] It is precisely the capacity and life of the battery [18] that currently slows the broader expansion of electric buses in operation. For this reason, the authors of foreign studies often deal with the energy management of electric buses [19,20,21]
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