Development of the Vastra Gotaland operating cycle for long-haul heavy-duty vehicles

In this paper, a complete operating cycle (OC) description is developed for heavy-duty vehicles traveling long distances in the region of Västra Götaland, Sweden. Variation amongst road transport missions accounted using collection stochastic models. These are parametrized from log data all influential parameters that may affect energy performance heavy trucks, including topography, curvature, speed limits, and stop signs. The statistical properties OC investigated numerically by considering some composite variables, condensing salient information about characteristics, inspired two existing classification systems. Two examples adduced to illustrate potential format, which enables ease detailed simulation efficiency individual vehicles, with application vehicle design optimization selection, production planning, predictive maintenance. particular, track used first example, Volvo FH13 equipped diesel engine, results indicate mean CO 2 emissions around 1700 g km -1 , standard deviation 360 ; second dealing electrical fleet sizing, optimal proportion shows predominance tractor-semitrailer (70%) equipping 4 motors 11 battery packs.