Development of vehicle driving cycles based on the real traffic dataset

Abstract

The paper describes methods for generating (modeling) representative driving cycles of the vehicle used to solve engineering problems in the design of electric vehicles, such as resource calculations, determination of the required capacity of traction batteries and evaluation of power reserve, etc. The general approaches used in the processing of real traffic data and algorithms for modeling driving cycles using deterministic and probabilistic approaches are described. This paper presents driving cycles that ensure convergence with parameters corresponding to the real conditions of vehicle movement. The developed driving cycles can be used in the design of electric vehicle transmission components and allow for the analysis of operational properties.