A Proposal for an Empirical Approach to the Re-creation of Vehicle Drive Cycles

Abstract

Vehicles such as buses, delivery trucks, mining equipment,
and motorsport vehicles often repeat a highly defined
pattern, route, or track during normal use. For these vehicles,
standard dynamometer drive cycles are of little use. In this paper
it is proposed that deriving a vehicle drive cycle from empirical
data collected from on-board vehicle sensors would produce more
accurate vehicle characteristic predictions for special purpose
vehicles. This study answers the question “Is it possible to use
recorded vehicle data to replicate a real world driving scenario
for the purpose of vehicle diagnostics?” To reduce the complexity
of the project, an electric go-kart is to be used as test vehicle.