Energy consumption prediction for heavy electric vehicles based on the operating cycle format
Typ
Examensarbete för masterexamen
Program
Systems, control and mechatronics (MPSYS), MSc
Publicerad
2022
Författare
Berg, Marcus
Ta, Conny
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
The objective of this report is to study the energy consumption of a heavy electric
vehicle while it is on the road driving along an unknown route. The results from
this project deliver a method and a framework that can be used to estimate certain
environmental factors’ energy consumption affect on a vehicle. The focus lies on
investigating factors that can be hard to predict, or which there is no information
about before embarking on a route. The energy consumption from all factors’ is
summed up to give a final estimation. A connection between the different factors
characteristics and the energy consumption is established by running simulated sce narios generated by stochastic models of the investigated factors.
The findings of the project are the relations between characteristics of the factors to
its energy consumption. When the variance of the topography increases, an increase
in the energy consumption can be observed as well. This observation demonstrates
the relation between the characteristics with their corresponding influence on energy
consumption. Similar conclusions can also be observed for the two other investigated
parameters, curvature and speed bumps. The results are based on the assumption
that summing the energy contributions from each factors model gives a total energy
consumption for the vehicle along a route. The results of the project show that it is
possible to estimate the energy consumption for other parameters with similar phys ical properties as well. This is especially important for parameters which are hard
to calculate before starting a route. The findings consists of a series of constructed
graphs that represents the simulations. These graphs contain information to map a
set of an interval of investigated characteristics such as the variance values, mean
curvature and speed bumps intensity to an energy consumption estimate.
Beskrivning
Ämne/nyckelord
energy consumption , operating cycle , heavy electric vehicle , prediction , stochastic model , unknown route