Simulation Model of Hybrid Driveline in Mobile Rock Crusher
Backman, Jesse (2020)
Backman, Jesse
2020
Konetekniikan DI-tutkinto-ohjelma - Degree Programme in Mechanical Engineering, MSc (Tech)
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Hyväksymispäivämäärä
2020-05-11
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202004203379
https://urn.fi/URN:NBN:fi:tuni-202004203379
Tiivistelmä
Tightening environmental regulations and increasing demand for energy efficiency are driving the development of non-road mobile machines towards new solutions. Conventionally, non-road machines have been powered by a single diesel engine that has been dimensioned according to the peak power demand. This leads to the diesel engine being oversized in many applications. In a diesel-electric hybrid machine the diesel engine can be dimensioned according to the average load, as energy can be stored to and drawn from an energy storage. Based on previous studies, hybridization can increase the energy efficiency and reduce the environmental impact of a non-road machine.
In product development, simulations can be utilized to test and develop ideas efficiently without building costly prototypes. Motivation for this thesis was to increase the knowledge of utilization of simulations in product development, and particularly in development of hybrid working machines. Existing research was reviewed, and a collection of related studies and advantages and requirements of simulations is presented in the literature review sections of this thesis. Furthermore, hybrid drivelines and their key components are discussed.
In this study two simulation models of a working machine were created. A conventional model representing the current machine configuration, and a series-hybrid model are presented in this thesis. Backward-facing modeling technique was utilized, and efficiency maps were applied to modeling where applicable. As standardized load cycles for the machine were not available, they were measured from machines working in different applications. As a result, three load cycles that can be utilized in simulations are presented.
A case study validating the conventional model and demonstrating utilization of simulations in hybrid driveline development is presented. The simulation results indicate that hybridization of the machine can reduce the fuel consumption by up to 20\%, and that engine downsizing is possible without negatively impacting the machine performance. Control optimization and exact dimensioning of components was outside the scope of this research, and by improving these aspects further benefits can be expected.
In product development, simulations can be utilized to test and develop ideas efficiently without building costly prototypes. Motivation for this thesis was to increase the knowledge of utilization of simulations in product development, and particularly in development of hybrid working machines. Existing research was reviewed, and a collection of related studies and advantages and requirements of simulations is presented in the literature review sections of this thesis. Furthermore, hybrid drivelines and their key components are discussed.
In this study two simulation models of a working machine were created. A conventional model representing the current machine configuration, and a series-hybrid model are presented in this thesis. Backward-facing modeling technique was utilized, and efficiency maps were applied to modeling where applicable. As standardized load cycles for the machine were not available, they were measured from machines working in different applications. As a result, three load cycles that can be utilized in simulations are presented.
A case study validating the conventional model and demonstrating utilization of simulations in hybrid driveline development is presented. The simulation results indicate that hybridization of the machine can reduce the fuel consumption by up to 20\%, and that engine downsizing is possible without negatively impacting the machine performance. Control optimization and exact dimensioning of components was outside the scope of this research, and by improving these aspects further benefits can be expected.