Construction of driving test conditions for a two-wheeled electric vehicle based on urban logistics
ZHANG Qi
WANG Wenbin
QU Hengbo
LAN Song
Abstract：To accurately test the actual range of two-wheeled electric vehicle and reflect their real-world driving conditions,GPS speedometers and compass application software are used to collect one week′s worth of actual driving data from two food delivery workers in both urban and suburban areas of Hefei city.Considering factors such as vehicle speed and road conditions comprehensively,principal component analysis(PCA)and K-means clustering methods are employed to construct a comprehensive testing scenario that can accurately reflect the actual operating conditions of two-wheeled electric vehicle.The analysis results show that the scenarios constructed using PCA and K-means clustering methods are closer to the daily usage scenarios of two-wheeled electric vehicle,which can provide a more scientific basis for evaluating their range capabilities.
Keywords：test conditionprincipal component analysisK-means clustering analysistwo-wheeled electric vehicledriving range
Publication Date：2024-12-28
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：8( 60-67 )