Development of a refuse truck driving cycle collective based on measurement data

摘要

Driving cycles play an important role in the assessment of fuel consumption and emissions of both passenger and commercial vehicles. The used cycle has significant impact on the results of simulations and experiments. In this work, a method for the derivation of a driving cycle collective based on measurement data is presented. The approach differs from existing methods because it considers not only the time-velocity signal, but also additional signals such as the road grade or the vehicle mass. Using optimisation techniques, a representative driving cycle can be extracted according to individual specifications. Once a driving cycle has been derived, the developed framework can be used to find similar driving cycles from consecutive vehicle operations in order to generate a complete cycle collective. The developed procedure is illustrated for the derivation of a refuse truck cycle collective, but the presented methods can be applied for various applications and allow for the fast development of extended driving cycles with individual requirements.