1 |
Monitorování stavu mechatronických systémů / Condition monitoring of mechatronic systemsHorňan, Bohdan January 2021 (has links)
This thesis is concerned with condition monitoring and quantitative analysis of synchronous motors. Constantly rising requirements on the reliability of motors develop new methods of predictive diagnostics, which can identify failure conditions in the initial stage. Created mechatronic systems with the implemented failure from pre-prepared PMSM model are tested by unconventional condition monitoring methods. Software solutions of diagnostics and model designs of the mechatronic systems are implemented in MATLAB & Simulink. Part of this work is also a short introduction to the issue with necessary theoretical fundamentals and research of some selected methods of predictive diagnostics.
|
2 |
Pre-feasibility study of V2G system in the micro-grid of St. Martine Island, Bangladesh.Chowdhury, Md Abu Raihan January 2020 (has links)
The goal of the study was to evaluate the potential of the V2G system as a solution to peak load leveling and integrating more renewable energy in the microgrid of St. Martine Island. Simulink Simscape software was used to model a microgrid with a V2G system for the small community of the Island. The result of the study shows a V2G system with 100 electric cars could play an important role for peak shaving by supplying up to 0.8 MW of electric power back to the grid during peak hours, where each car contributes 10 kW of electric power. It also demonstrates that the V2G system effectively helps to promote solar power capacity from 1 MW to 2.5 MW, hence increase 23.59% share of solar energy in the total grid energy uses compared with the current microgrid of St. Martine Island. / The electricity that is generated from non-renewable sources causesenvironmental pollution and climate changes. Fossil fuel uses leads to thedepletion of fossil fuel resources as well as global warming. On the other hand, renewable energy sources can be used to produce electricity with very few or no CO2 emissions. So, now governments are focusing on renewable energy production. But solar, wind, and other types of renewable energy sources have intermittency. They are not continuously available due to natural factors that cannot be controlled. So, renewable energy needs to be utilized when it is available, or its intermittency can be overcome by energy storage. All Electric vehicle uses a battery pack of large capacity to power the electric motors. These batteries can be used to store the energy that is generated from renewable sources and use them when needed. Besides, the electric grid must always stay in balance. With the development of variable renewable energy production, the management of this balance has become complex. Vehicle to grid is a technology that enables energy to be pushed back to the grid from the battery of an electric car and helps to manage fluctuations on the electricity grid. It helps to balance the grid by charging the battery when renewableenergy is available and load demand is low, then sending energy back to the grid when load demand is high. However, St. Martine Island is a small Island in Bay of Bengal about 9km south of the mainland of Bangladesh. Nearly 6000 people are living there. Since the island is far away from the mainland, grid connection is almostimpossible in terms of cost and geographic location. St. Martine Island has a very high solar power potential, but very low average wind speed. Currently, the electricity demand is fulfilled by stand-alone diesel generators, PV panels, and wind turbines. The current microgrid gets a high load demand during peak hours which is between 6 pm to 11 pm. During this time grid become fully dependent on diesel generators which leads to fossil fuel uses andenvironmental pollution. Here, the project's key objective is to determine the prospects of V2Gtechnology on St. Martine Island to level the peak load during peak hours, given that St. Martine Island is a low windy island with a high average number of yearly peak sun hours. Another goal is to examine the degree to which the share of solar power can be increased by a V2G system in St. Martine Island. In the project, at first, we have modeled a microgrid using Simulink Simscape software. Simulink Simscape enables modeling of a system by putting direct physical connections between the block diagram. In the microgrid model, there are five main sections, which have been designed by assemblingfundamental components in the schematic. A V2G system has been modeled which consists of 100 electric cars as aprototype. Each car has a battery of 100 kWh capacity. Considering thecondition of St. Martine Island and the objective of the project, we have made some assumptions while modeling the V2G section. The results of the project showed that the V2G system significantly smoothed out the peak load during peak hours. It also demonstrated that charging electric cars during daytime by solar power and sending energy back to the grid during peak hours enables the V2G system to accommodate more renewable solar energy sources in the microgrid of St. Martine Island. Finally, the project evident that the V2G system can be integrated into the microgrid of St. Martine Island to level the peak load and to increase the share of solar energy in the total energy uses of the Island.
|
3 |
Model elektrického vozidla v programu SIMULINK/SIMSCAPE / Model of electric vehicle in SIMULINK/SIMSCAPE programKachlík, Jan January 2011 (has links)
The topic of this diploma thesis is mathematical model of electric vehicle. The traction drive consists of Li-Ion battery, free-phase DC/AC converter and permanent magnet synchronous machine. The main goal of the thesis is development of function model and making simulations in SIMULINK/SIMSCAPE program. Work is divided into three main parts. The first part is dedicated to the theoretical description of the main drive components. The second part describes partial subsystems of the model. In the last part is build a complete model of electric vehicle and simulated different driving mode.
|
Page generated in 0.0557 seconds